Folder Path

/cohere/latest/

0 directories 985 files 5.7 MiB total
List Grid
Name
Size Modified
Up
0-array-1-array-2-array-10-array.md
307 B
1-set-up-your-cohere-client-translation-prompt-and-maximum-words-per-chunk.md
351 B
2-your-source-text.md
284 B
3-define-the-chunk-split-function-from-earlier-in-your-notebook.md
1.6 KiB
3-introduce-citations-to-the-summary-for-grounding-introduce-citations-to-the-su.md
2.7 KiB
4-reduce-the-cost-of-summarization-calls-reduce-the-cost-of-summarization-calls.md
1.4 KiB
4-split-the-text-into-chunks-using-chunk-split.md
97 B
5-translate-each-chunk-and-collect-results.md
364 B
6-merge-the-translated-chunks-back-together.md
92 B
7-output-the-final-translation.md
538 B
a-data-analyst-agent-built-with-cohere-and-langchain.md
50 KiB
a-guide-to-streaming-responses.md
1.8 KiB
a-guide-to-tokens-and-tokenizers.md
3.4 KiB
add-new-query.md
59 B
add-nodes-2.md
1.9 KiB
add-nodes.md
220 B
add-tables.md
296 B
add-texts.md
280 B
add-the-new-column-combined-attributes.md
144 B
add-the-system-and-user-messages-to-the-chat-history.md
162 B
add-the-user-message-10.md
156 B
add-the-user-message-2.md
2.1 KiB
add-the-user-message-3.md
149 B
add-the-user-message-4.md
156 B
add-the-user-message-5.md
103 B
add-the-user-message-6.md
156 B
add-the-user-message-7.md
168 B
add-the-user-message-8.md
168 B
add-the-user-message-9.md
209 B
add-the-user-message.md
1.4 KiB
add-the-user-query-10.md
62 B
add-the-user-query-11.md
57 B
add-the-user-query-2.md
129 B
add-the-user-query-3.md
90 B
add-the-user-query-4.md
65 B
add-the-user-query-5.md
90 B
add-the-user-query-6.md
63 B
add-the-user-query-7.md
57 B
add-the-user-query-8.md
83 B
add-the-user-query-9.md
57 B
add-the-user-query.md
112 B
advanced-document-parsing-for-enterprises.md
7.2 KiB
advanced-generation-parameters.md
6.0 KiB
advanced-retrieval-launch-release.md
590 B
after.md
1.2 KiB
agentic-multi-stage-rag-with-cohere-tools-api.md
4.1 KiB
agentic-rag-for-pdfs-with-mixed-data.md
1.8 KiB
an-amazon-sagemaker-setup-guide.md
3.0 KiB
an-overview-of-coheres-models.md
25 KiB
an-overview-of-coheres-rerank-model.md
14 KiB
an-overview-of-the-cohere-platform.md
8.7 KiB
an-overview-of-the-developer-playground.md
4.8 KiB
an-overview-of-tool-use-with-cohere.md
1.0 KiB
analysis-of-form-10-k10-q-using-cohere-and-rag.md
1.0 KiB
analyzing-hacker-news-with-cohere.md
31 KiB
and-check-the-claims-in-the-response-against-the-gold.md
56 B
and-get-assess-the-modified-claims.md
1.7 KiB
and-run-the-evaluation.md
2.2 KiB
and-see-what-the-model-returns.md
851 B
and-the-golden-docs.md
105 B
announcing-coheres-command-a-reasoning-model.md
2.8 KiB
announcing-coheres-command-a-translate-model.md
1.9 KiB
announcing-coheres-command-a-vision-model.md
2.4 KiB
announcing-command-a.md
1.2 KiB
announcing-command-r7b.md
1.2 KiB
announcing-cutting-edge-cohere-models-on-oci.md
1.2 KiB
announcing-embed-multimodal-v4.md
1.3 KiB
announcing-major-command-deprecations.md
1.5 KiB
announcing-rerank-v35.md
2.2 KiB
answer-063-2.md
761 B
answer-063.md
1.2 KiB
answer-215200.md
4.8 KiB
answer-3917-minutes.md
4.4 KiB
answer-48-2.md
1.1 KiB
answer-48.md
1.4 KiB
answer-extract-names-10625-draft-email-24575-summarize-article-35575-2.md
2.4 KiB
answer-extract-names-10625-draft-email-24575-summarize-article-35575.md
3.2 KiB
answer-stn2-stn3-and-stn5-had-some-downtime-in-the-month-of-may-2024.md
7.0 KiB
answer-stn2-with-duration-of-35-mins.md
3.8 KiB
answer-stn4-251-minutes.md
6.1 KiB
any-search-engine-can-be-used-this-example-uses-the-tavily-api.md
166 B
append-assistant-response-to-the-chat-history.md
137 B
appendix.md
774 B
apply-the-embedding-function-with-a-progress-bar.md
6.7 KiB
article-recommender-via-embedding-classification.md
26 KiB
as-the-proportion-of-correct-claims-over-the-full-list-of-claims.md
799 B
assemble-versioned-documents-together-doc-name-0-doc-content-0-1-doc-content-1.md
320 B
assistant-turn-1.md
161 B
assistant-turn-2.md
546 B
authorize-with-oauth.md
8.9 KiB
aws-private-deployment-guide-ec2-and-eks.md
10 KiB
aya-expanse-is-available-on-whatsapp.md
716 B
aya-expanse.md
9.3 KiB
aya-family-of-models.md
1.1 KiB
aya-vision.md
7.2 KiB
basic-rag-retrieval-augmented-generation-with-cohere.md
2.1 KiB
basic-semantic-search-with-cohere-models.md
13 KiB
basic-usage-of-tool-use-function-calling.md
3.0 KiB
batch-embedding-jobs-with-the-embed-api.md
10 KiB
because-the-text-being-embedded-is-the-search-query-we-set-the-input-type-as-sea.md
14 KiB
because-the-texts-being-embedded-are-the-chunks-we-are-searching-over-we-set-the.md
986 B
before.md
1.1 KiB
best-practices-for-using-rerank.md
6.6 KiB
best-practices.md
404 B
bind-the-tools-to-the-llm.md
66 B
build-a-hybrid-search-index-with-cohere-and-elasticsearch.md
826 B
build-a-sql-agent-with-coheres-llm-platform.md
1.3 KiB
build-an-onboarding-assistant-with-cohere.md
2.4 KiB
build-chatbots-with-mongodb-and-cohere.md
3.7 KiB
build-the-agent-abstraction-itself.md
3.3 KiB
build-the-evaluation-framework-eval-framework.md
6.6 KiB
building-a-chatbot-with-cohere.md
954 B
building-a-generative-ai-agent-with-cohere.md
1.2 KiB
building-a-retrieval-pipeline-with-cohere-and-redis.md
1.4 KiB
building-agentic-rag-with-cohere.md
2.8 KiB
building-an-llm-agent-with-the-cohere-api.md
2.4 KiB
building-rag-models-with-cohere.md
1.3 KiB
calculate-overall-statistics.md
108 B
calculate-similarity-between-the-user-question-each-chunk.md
187 B
calculate-similarity-scores-2.md
82 B
calculate-similarity-scores.md
82 B
calendar-agent-with-native-multi-step-tool.md
850 B
call-the-pythonastrepltool-in-order-to-pass-tables-to-the-tool.md
4.3 KiB
cancel-an-embed-job-2.md
2.8 KiB
cancel-an-embed-job.md
5.0 KiB
categorize-by-type.md
387 B
change-aws-profile-to-your-own-aws-profile-name-2.md
497 B
change-aws-profile-to-your-own-aws-profile-name.md
520 B
changing-embedding-compression-types.md
898 B
chat-2.md
98 KiB
chat-with-streaming.md
100 KiB
chat.md
3.5 KiB
check-what-tools-the-model-wants-to-use-and-how-to-use-them.md
1.4 KiB
chroma-and-cohere-integration-guide.md
510 B
chunk-doc-content.md
166 B
citations-for-tool-use-function-calling.md
11 KiB
classify.md
26 KiB
coclassify-uses-representational-model-embeddings.md
317 B
cohere-and-langchain-integration-guide.md
2.1 KiB
cohere-chat-on-langchain-integration-guide.md
972 B
cohere-cookbooks-build-ai-agents-and-solutions.md
2.0 KiB
cohere-documentation.md
5.4 KiB
cohere-embed-on-langchain-integration-guide.md
975 B
cohere-labs-acceptable-use-policy.md
2.2 KiB
cohere-model-names-are-changing.md
1.6 KiB
cohere-models-on-amazon-bedrock.md
1.6 KiB
cohere-on-amazon-web-services-aws.md
2.2 KiB
cohere-on-oracle-cloud-infrastructure-oci.md
4.5 KiB
cohere-on-the-microsoft-azure-platform.md
3.5 KiB
cohere-package-cohere-command-r-ft-v-0-1-2-bae2282f0f4a30bca8bc6fea9efeb7ca.md
81 B
cohere-provides-exact-citations-for-the-sources-it-used.md
1.1 KiB
cohere-python-sdk-v500-release.md
534 B
cohere-python-sdk-v520-release.md
637 B
cohere-react-agent-with-rag-tool-sec-step5.md
9.1 KiB
cohere-releases-arabic-optimized-command-model.md
1.6 KiB
cohere-rerank-on-langchain-integration-guide.md
1.6 KiB
cohere-sdk-cloud-platform-compatibility.md
19 KiB
cohere-text-generation-tutorial.md
1.3 KiB
cohere-tools-on-langchain-integration-guide.md
1.5 KiB
cohere-via-openai-sdk-using-compatibility-api.md
725 B
coheres-command-a-reasoning-model.md
1.8 KiB
coheres-command-a-translate-model.md
3.4 KiB
coheres-command-a-vision-model.md
2.0 KiB
coheres-command-r-model-2.md
5.4 KiB
coheres-command-r-model.md
6.7 KiB
coheres-command-r7b-model.md
3.1 KiB
coheres-embed-models-details-and-application.md
7.3 KiB
coheres-multimodal-embedding-models-are-on-bedrock.md
662 B
coheres-rerank-model-details-and-application.md
3.2 KiB
coheres-rerank-v35-model-is-on-azure-ai-foundry-2.md
759 B
coheres-rerank-v35-model-is-on-azure-ai-foundry.md
759 B
coheres-rerank-v40-model-is-here.md
1.9 KiB
comebine-title-and-body.md
97 B
command-a.md
3.6 KiB
command-model-nightly-available.md
991 B
command-models-get-an-august-refresh.md
4.1 KiB
command-r-and-command-r-model-card.md
6.4 KiB
command-r-is-a-scalable-llm-for-business.md
1.2 KiB
command-r-retrieval-augmented-generation-at-scale.md
1.1 KiB
commit-the-changes-and-close-the-connection.md
7.2 KiB
compare-them.md
3.9 KiB
compile-the-graph-2.md
51 B
compile-the-graph.md
51 B
compute-dot-product-similarity-and-display-results-2.md
1.9 KiB
compute-dot-product-similarity-and-display-results-3.md
781 B
compute-dot-product-similarity-and-display-results-4.md
601 B
compute-dot-product-similarity-and-display-results-5.md
1.1 KiB
compute-dot-product-similarity-and-display-results-6.md
2.2 KiB
compute-dot-product-similarity-and-display-results.md
7.9 KiB
compute-the-ratio-2.md
3.8 KiB
compute-the-ratio.md
9.3 KiB
conclusion.md
409 B
conclusions-sec-conclusion.md
457 B
configure-payload-data-sending-to-api-endpoint-2.md
110 B
configure-payload-data-sending-to-api-endpoint.md
327 B
confirm-the-client-has-connected.md
59 B
connect-to-the-weaviate-cloud-instance-2.md
489 B
connect-to-the-weaviate-cloud-instance.md
451 B
construct-a-search-index-from-the-schema-this-schema-is-called-semantic-search-d.md
223 B
construct-the-evaluation-dataset-dataset.md
11 KiB
constructing-the-embed-input-object-2.md
125 B
constructing-the-embed-input-object.md
125 B
contruct-the-data-payload-to-be-uploaded-to-your-index.md
392 B
convenience-function-for-formatting-documents.md
256 B
convert-the-dataset-to-a-pandas-dataframe.md
2.9 KiB
convert-the-documents-to-yaml-format-2.md
105 B
convert-the-documents-to-yaml-format.md
102 B
cookbooks.md
25 KiB
copyright-amazoncom-inc-or-its-affiliates-all-rights-reserved.md
68 B
create-a-cohere-reranker.md
125 B
create-a-connection-to-a-new-sqlite-database-or-connect-to-an-existing-one.md
149 B
create-a-connector.md
15 KiB
create-a-custom-system-instruction-that-guides-all-of-the-assistants-responses.md
402 B
create-a-dataset.md
8.9 KiB
create-a-demo-csv-file.md
447 B
create-a-new-collection-named-legal-docs-in-the-weaviate-database-2.md
1.0 KiB
create-a-new-collection-named-legal-docs-in-the-weaviate-database.md
6.7 KiB
create-a-prompt-containing-example-outputs.md
470 B
create-a-search-index.md
396 B
create-a-state-graph-2.md
126 B
create-a-state-graph.md
126 B
create-a-tool.md
72 B
create-a-vector-store-from-the-documents-2.md
92 B
create-a-vector-store-from-the-documents.md
142 B
create-a-vectorizer.md
454 B
create-a-web-search-function.md
565 B
create-agent.md
155 B
create-an-agent-executor.md
115 B
create-an-agent.md
155 B
create-an-embed-job.md
10 KiB
create-an-instance-of-the-vectorstore-class-with-the-given-sources.md
11 KiB
create-cohere-agent-create-cohere-agent.md
2.2 KiB
create-coheres-reranker-with-the-vector-db-using-coheres-embeddings-as-the-base-.md
388 B
create-custom-system-message.md
246 B
create-index-we-are-using-an-example-page-from-coheres-docs-2.md
301 B
create-index-we-are-using-an-example-page-from-coheres-docs.md
301 B
create-reranker.md
116 B
create-the-cohere-rag-retriever-using-the-chat-model-2.md
412 B
create-the-cohere-rag-retriever-using-the-chat-model-3.md
151 B
create-the-cohere-rag-retriever-using-the-chat-model-4.md
187 B
create-the-cohere-rag-retriever-using-the-chat-model-with-the-web-search-connect.md
194 B
create-the-cohere-rag-retriever-using-the-chat-model.md
103 B
create-the-embedding-model.md
209 B
create-the-engine.md
62 B
create-the-index-no-data-yet.md
5.7 KiB
create-the-python-tool.md
475 B
create-the-query-engine.md
105 B
create-the-react-agent.md
693 B
create-the-service-context-with-the-cohere-model-for-generation-and-embedding-mo.md
201 B
create-the-sqldatabase-instance.md
58 B
create-the-tools.md
2.3 KiB
create-the-vector-store.md
146 B
create-the-wikipedia-retriever.md
70 B
creating-a-client.md
5.8 KiB
creating-a-qa-bot-from-technical-documentation.md
15 KiB
credentials-file-populate-if-you-are-running-in-a-non-vertex-ai-environment.md
3.6 KiB
current-model-upgrades-new-command-beta-model.md
1.2 KiB
data-model.md
599 B
data-preparation.md
438 B
data-to-be-written-to-the-csv-file.md
728 B
deep-dive-into-evaluating-rag-outputs.md
1.2 KiB
define-a-system-message-to-optimize-search-query-generation-2.md
548 B
define-a-system-message-to-optimize-search-query-generation.md
414 B
define-a-system-message.md
161 B
define-a-tag-match-on-the-title-text-match-on-the-text-field-and-numeric-filter-.md
314 B
define-conversation-input.md
176 B
define-documents-for-retrieval-based-generation.md
582 B
define-headers-for-the-api-requests-including-the-cohere-api-key-2.md
117 B
define-headers-for-the-api-requests-including-the-cohere-api-key.md
117 B
define-llm.md
78 B
define-prompts-that-we-want-to-use-in-the-csv-agent.md
2.6 KiB
define-python-tool-define-python-tool.md
1.3 KiB
define-the-agent-2.md
69 B
define-the-agent-3.md
1.5 KiB
define-the-agent.md
77 B
define-the-chunking-function.md
11 KiB
define-the-cohere-embedding-model-2.md
138 B
define-the-cohere-embedding-model.md
124 B
define-the-cohere-llm-10.md
130 B
define-the-cohere-llm-11.md
1.1 KiB
define-the-cohere-llm-12.md
535 B
define-the-cohere-llm-13.md
886 B
define-the-cohere-llm-14.md
909 B
define-the-cohere-llm-15.md
106 B
define-the-cohere-llm-2.md
106 B
define-the-cohere-llm-3.md
106 B
define-the-cohere-llm-4.md
106 B
define-the-cohere-llm-5.md
106 B
define-the-cohere-llm-6.md
714 B
define-the-cohere-llm-7.md
1.2 KiB
define-the-cohere-llm-8.md
551 B
define-the-cohere-llm-9.md
106 B
define-the-cohere-llm.md
106 B
define-the-documents-2.md
909 B
define-the-documents-3.md
751 B
define-the-documents-4.md
1.1 KiB
define-the-documents-5.md
56 B
define-the-documents-6.md
2.0 KiB
define-the-documents-7.md
1.2 KiB
define-the-documents-8.md
399 B
define-the-documents-9.md
463 B
define-the-documents.md
1.7 KiB
define-the-list-of-healthcare-compliance-documents.md
3.3 KiB
define-the-llm.md
99 B
define-the-model-you-want-to-use-you-can-replace-gpt-4-with-any-other-gpt-versio.md
101 B
define-the-model.md
11 KiB
define-the-models-to-use-as-judges.md
219 B
define-the-prompt-2.md
94 B
define-the-prompt-template-2.md
81 B
define-the-prompt-template.md
81 B
define-the-prompt.md
72 B
define-the-query-generation-tool.md
697 B
define-the-query.md
129 B
define-the-question.md
480 B
define-the-search-engines.md
86 B
define-the-tools-2.md
492 B
define-the-tools-3.md
1.4 KiB
define-the-tools.md
2.9 KiB
define-the-web-search-tool.md
687 B
define-tools-that-we-want-the-csv-agent-to-have-access-to.md
5.9 KiB
define-tools.md
346 B
defining-the-function-to-convert-an-image-to-a-base-64-data-url.md
2.4 KiB
delete-a-connector.md
7.3 KiB
delete-a-dataset.md
4.5 KiB
delete-any-existing-records-in-the-collection.md
10 KiB
delete-dataset.md
2.8 KiB
delete-the-inference-model-if-it-already-exists-2.md
1.3 KiB
delete-the-inference-model-if-it-already-exists.md
2.6 KiB
deletes-a-fine-tuned-model.md
5.4 KiB
depending-on-the-metric-we-want-to-compute.md
942 B
deploy-finetuned-command-models-from-aws-marketplace.md
2.9 KiB
deploy-your-finetuned-model-on-aws-marketplace.md
4.0 KiB
deploying-models-in-private-environments.md
13 KiB
deployment-options-overview.md
3.8 KiB
deprecation-of-classify-via-default-embed-models.md
697 B
deprecations.md
5.0 KiB
detokenize.md
11 KiB
different-types-of-api-keys-and-rate-limits.md
2.5 KiB
display-search-results-2.md
2.9 KiB
display-search-results.md
1.9 KiB
display-summary-of-results.md
242 B
display-the-citations-and-source-documents-2.md
2.1 KiB
display-the-citations-and-source-documents.md
5.0 KiB
display-the-first-10-results-2.md
156 B
display-the-first-10-results.md
156 B
display-the-first-few-rows-of-the-updated-dataframe.md
2.2 KiB
display-the-reranked-search-results.md
2.4 KiB
display-the-reranking-results-2.md
1.4 KiB
display-the-reranking-results.md
1.9 KiB
display-the-response-2.md
62 B
display-the-response.md
62 B
do-not-add-a-trailing-slash-at-the-end.md
1.6 KiB
document-translation-with-command-a-translate.md
1.2 KiB
documentid-content-my-name-is-wolfgang-and-i-live-in-berlin-embedding-vector-of-.md
1.2 KiB
documentid-text-my-name-is-wolfgang-and-i-live-in-berlin.md
72 B
documents-that-should-be-included-in-the-final-rag-step.md
169 B
download-the-chinook-sqlite-database.md
393 B
download-the-pdf-file-from-the-url.md
183 B
download-the-tokenizer.md
892 B
due-to-compatibility-issues-we-need-to-do-imports-like-this.md
208 B
dune-part-two-was-originally-scheduled-to-be-released-on-october-20-2023-but-was.md
529 B
effective-chunking-strategies-for-rag.md
6.5 KiB
elasticsearch-and-cohere-integration-guide.md
4.3 KiB
embed-a-document.md
1.0 KiB
embed-an-images-and-texts-separately.md
179 B
embed-api-v2.md
70 KiB
embed-documents.md
348 B
embed-the-documents-2.md
229 B
embed-the-documents-3.md
787 B
embed-the-documents-4.md
158 B
embed-the-documents-5.md
424 B
embed-the-documents-with-the-given-embedding-types.md
228 B
embed-the-documents.md
229 B
embed-the-query-2.md
242 B
embed-the-query-3.md
889 B
embed-the-query-4.md
126 B
embed-the-query-5.md
279 B
embed-the-query.md
242 B
embed-the-search-query.md
784 B
embed-v30-models-are-now-multimodal.md
1.2 KiB
embed.md
63 B
employing-a-smaller-context-window-also-has-the-additional-benefit-of-reducing-t.md
7.2 KiB
end-to-end-example-of-rag-with-chat-embed-and-rerank.md
11 KiB
end-to-end-rag-using-elasticsearch-and-cohere.md
11 KiB
ensure-there-is-no-duplicated-text-in-the-headers.md
220 B
error-resilience-error-resilience.md
13 KiB
errors-status-codes-and-description.md
141 B
evaluating-text-summarization-models.md
364 B
events-stream.md
22 KiB
example-formatted-prompt.md
4.0 KiB
example-list-of-objects.md
17 KiB
example-of-how-to-pass-hyperparameters-to-the-fine-tuning-job.md
1.5 KiB
example-prompt.md
4.8 KiB
example-response-2.md
16 KiB
example-response.md
2.9 KiB
example-summary-prompt-2.md
1.8 KiB
example-summary-prompt.md
489 B
except-for-the-context-that-now-is-the-golden-answer.md
1.4 KiB
execute-the-create-table-command.md
210 B
execute-the-insert-commands.md
714 B
extract-table-and-textual-objects-from-parser.md
101 B
extract-the-claims-from-the-modified-response.md
121 B
extremely-large-beta-release.md
607 B
faqs.md
5.5 KiB
feel-free-to-fill-in-some-other-edgar-path.md
297 B
fetch-an-embed-job.md
7.7 KiB
fetch-history-of-statuses-for-a-fine-tuned-model.md
8.0 KiB
fetch-the-dataset-by-id.md
123 B
fill-in-your-cohere-api-key-here.md
84 B
finally-define-the-preamble.md
4.6 KiB
finally-lets-write-a-function-to-convert-the-agents-output-to-a-json.md
304 B
financial-csv-agent-with-langchain.md
463 B
financial-csv-agent-with-native-multi-step-cohere-api.md
512 B
fine-tuning-has-been-added-to-the-python-sdk.md
387 B
fine-tuning-now-available-for-command-r-08-2024.md
627 B
finetuning-available-policy-updates.md
1.1 KiB
finetuning-cohere-models-on-aws-sagemaker.md
3.1 KiB
finetuning-on-coheres-platform.md
2.9 KiB
first-lets-define-a-function-which-extracts-the-claims-from-a-response.md
731 B
for-chunking-lets-use-langchain-to-help-us-split-the-text.md
1.3 KiB
for-command-models.md
209 B
for-embed-models.md
194 B
for-rerank-models.md
2.5 KiB
for-the-sake-of-clarity-we-report-the-actual-text-of-the-retrieved-documents.md
4.2 KiB
force-json-object-response-format.md
1.3 KiB
format-message-with-the-c4ai-command-r7b-12-2024-chat-template.md
2.0 KiB
format-the-documents-for-ranking-2.md
571 B
format-the-documents-for-ranking.md
8.2 KiB
frequently-asked-questions-about-cohere.md
34 KiB
fueling-generative-content-with-keyword-research.md
20 KiB
function-retrieve-is-ready-using-both-cohere-embeddings-for-similarity-search-as.md
859 B
function-to-create-augmented-memory-objects.md
3.8 KiB
function-to-generate-the-2d-plot.md
4.3 KiB
function-to-return-the-principal-components.md
3.2 KiB
general.md
83 B
generate-10-questions-about-geography-to-test-the-wikipedia-search.md
553 B
generate-a-response-2.md
108 B
generate-a-response.md
128 B
generate-embedding.md
14 KiB
generate-embeddings.md
87 B
generate-parallel-queries-for-better-rag-retrieval.md
14 KiB
generate-search-queries-if-any-2.md
3.7 KiB
generate-search-queries-if-any.md
1.8 KiB
generate-table-and-text-summaries.md
609 B
generate-the-document-embeddings.md
294 B
generate-the-query-embedding.md
186 B
generate-the-response-2.md
129 B
generate-the-response-3.md
129 B
generate-the-response-4.md
731 B
generate-the-response-5.md
806 B
generate-the-response-6.md
152 B
generate-the-response-7.md
161 B
generate-the-response-8.md
310 B
generate-the-response-9.md
1.0 KiB
generate-the-response-by-streaming-it.md
1.2 KiB
generate-the-response-multiple-times-by-adding-the-json-schema.md
1.7 KiB
generate-the-response-multiple-times-by-specifying-a-low-temperature-value-2.md
1.4 KiB
generate-the-response-multiple-times-by-specifying-a-low-temperature-value.md
471 B
generate-the-response.md
462 B
generating-multi-faceted-queries.md
7.9 KiB
generating-response-with-cohere-command-r.md
9.5 KiB
get-a-connector.md
11 KiB
get-a-dataset.md
11 KiB
get-a-model.md
8.9 KiB
get-all-investement-memos-19-in-bvp-repository.md
1.9 KiB
get-dataset-usage.md
4.6 KiB
get-dataset.md
2.9 KiB
get-elements.md
723 B
get-embed-job.md
2.9 KiB
get-embeddings-of-the-new-query.md
216 B
get-evaluation-results.md
89 B
get-indices-of-the-top-10-most-similar-chunks.md
95 B
get-keys.md
66 B
get-list-of-datasets.md
2.9 KiB
get-model-response.md
5.2 KiB
get-queries-to-run-against-our-index-from-the-model.md
333 B
get-started-start.md
1.2 KiB
get-the-arn-of-the-bring-your-own-finetuning-algorithm-by-region-2.md
1.0 KiB
get-the-arn-of-the-bring-your-own-finetuning-algorithm-by-region.md
1.0 KiB
get-the-cohere-generation-from-the-cohere-rag-retriever.md
108 B
get-the-embeddings.md
328 B
get-the-faithfulness-assessment-for-each-claim.md
1.3 KiB
get-the-largest-stockholders-equity-2.md
153 B
get-the-largest-stockholders-equity.md
153 B
get-the-merged-model-from-adapter-weights-2.md
144 B
get-the-merged-model-from-adapter-weights.md
138 B
get-the-rag-prompt.md
201 B
get-the-relevant-documents-from-wikipedia.md
89 B
get-the-similarity-between-the-search-query-and-existing-queries.md
145 B
get-the-smallest-revenue-2.md
167 B
get-the-smallest-revenue.md
167 B
get-usage.md
2.9 KiB
get-your-api-key-here-httpsdashboardcoherecomapi-keys.md
229 B
get-your-free-api-key-httpsdashboardcoherecomapi-keys-2.md
3.4 KiB
get-your-free-api-key-httpsdashboardcoherecomapi-keys-3.md
804 B
get-your-free-api-key-httpsdashboardcoherecomapi-keys-4.md
702 B
get-your-free-api-key-httpsdashboardcoherecomapi-keys-5.md
1.9 KiB
get-your-free-api-key-httpsdashboardcoherecomapi-keys-6.md
1.0 KiB
get-your-free-api-key-httpsdashboardcoherecomapi-keys.md
595 B
getting-started-with-basic-tool-use.md
16 KiB
given-the-list-of-claims-and-their-label-compute-the-final-score.md
67 B
global-settings.md
78 B
going-live-with-a-cohere-model.md
1.6 KiB
grounded-summarization-using-command-r.md
7.4 KiB
handling-connection-for-8080.md
6.3 KiB
hash-data-structures-get-serialized-as-a-string-and-thus-we-store-the-embeddings.md
702 B
haystack-and-cohere-integration-guide.md
5.9 KiB
hello-world-explore-language-ai-with-cohere.md
18 KiB
help-us-improve-the-cohere-docs.md
639 B
helper-function-for-displaying-response-with-citations.md
1.9 KiB
helper-function-for-routing-to-the-correct-tool.md
615 B
how-do-structured-outputs-work.md
3.2 KiB
how-does-coheres-pricing-work.md
2.6 KiB
how-to-build-a-csv-agent-without-using-deprecated-create-csv-agent-langchain-coh.md
395 B
how-to-get-a-token-httpshuggingfacecodocshubensecurity-tokens.md
72 B
how-to-get-predictable-outputs-with-cohere-models.md
3.4 KiB
how-to-start-with-the-cohere-toolkit.md
3.0 KiB
http-status-codes.md
23 KiB
httpshuggingfacecodatasetsmongodbfake-tech-companies-market-reports.md
222 B
if-the-endpoint-is-already-created-you-just-need-to-connect-to-it.md
2.1 KiB
if-the-endpoint-is-already-deployed-you-can-directly-connect-to-it-2.md
2.3 KiB
if-the-endpoint-is-already-deployed-you-can-directly-connect-to-it.md
2.2 KiB
import-packages.md
777 B
import-the-metadataquery-class-from-weaviateclassesquery-to-handle-metadata-in-q-2.md
139 B
import-the-metadataquery-class-from-weaviateclassesquery-to-handle-metadata-in-q.md
139 B
import-the-necessary-packages.md
55 B
import-the-rerank-class-from-weaviateclassesquery-to-enable-reranking-in-queries.md
126 B
import-the-weaviate-module-to-interact-with-the-weaviate-vector-database.md
129 B
import-the-weaviate-modules-to-interact-with-the-weaviate-vector-database.md
130 B
in-the-response-against-the-retrieved-documents-ie-context-retrieved-documents.md
87 B
initialize-a-tag-filter.md
73 B
initialize-coherechat.md
358 B
input-parameters-for-embed-in-this-example-we-are-embedding-hacker-news-post-tit-2.md
663 B
input-parameters-for-embed-in-this-example-we-are-embedding-hacker-news-post-tit.md
647 B
inspect-dataset.md
358 B
installation.md
3.9 KiB
instantiate-a-client-to-communicate-with-coheres-api-using-our-python-sdk.md
477 B
instantiate-agent-and-agent-executor-2.md
342 B
instantiate-agent-and-agent-executor.md
360 B
instantiate-the-cohere-client-2.md
20 KiB
instantiate-the-cohere-client.md
168 B
instantiate-the-cohere-llm.md
112 B
instantiate-the-embedding-model.md
94 B
instantiate-the-react-agent-2.md
12 KiB
instantiate-the-react-agent.md
329 B
instantiate-the-reranker.md
82 B
instantiating-the-new-client.md
84 B
instantiating-the-old-client.md
78 B
integrating-embedding-models-with-other-tools.md
870 B
internet-search-tool-you-can-use-any-tool-and-there-are-lots-of-community-tools-.md
98 B
introducing-classification-endpoint.md
495 B
introducing-moderate-tool-beta.md
556 B
introduction-sec-step1.md
818 B
introduction-to-aya-vision.md
2.1 KiB
introduction-to-cohere-on-azure-ai-foundry.md
3.8 KiB
introduction-to-embeddings-at-cohere.md
1.1 KiB
introduction-to-text-generation-at-cohere.md
3.0 KiB
invoke-the-model-and-print-the-response-2.md
718 B
invoke-the-model-and-print-the-response-3.md
524 B
invoke-the-model-and-print-the-response-4.md
2.9 KiB
invoke-the-model-and-print-the-response.md
2.0 KiB
iterate-over-the-retrieved-objects-and-print-their-details-2.md
1.9 KiB
iterate-over-the-retrieved-objects-and-print-their-details.md
1.3 KiB
keep-only-selected-languages.md
115 B
keep-only-the-top-10-indices.md
146 B
kick-off-a-text-detection-job-this-returns-a-job-id.md
8.7 KiB
language-distribution.md
951 B
larger-cohere-representation-models.md
649 B
learn-how-coheres-rerank-models-work.md
28 KiB
lets-answer-the-followup-question-above-with-the-new-setup.md
2.3 KiB
lets-assume-we-have-the-following-set-of-retrieved-docs.md
520 B
lets-create-a-function-that-checks-each-claim-against-a-reference-text.md
74 B
lets-define-a-function-to-get-the-models-response-for-a-given-input.md
318 B
lets-define-the-system-instruction-preamble-for-the-agent.md
63 B
lets-extract-the-claims.md
82 B
lets-extract-the-golden-claims.md
942 B
lets-get-the-gold-answer-from-the-dataset.md
94 B
lets-get-the-wikipedia-article-about-dune-part-two.md
618 B
lets-have-a-look-at-the-final-output.md
2.9 KiB
lets-mess-up-the-century-changing-2022-to-1922.md
103 B
lets-start-the-conversation-with-a-question-about-the-csv-we-have-loaded.md
913 B
lets-start-with-faithfulness-in-this-case-we-want-to-assess-the-claims.md
75 B
list-connectors.md
12 KiB
list-datasets.md
12 KiB
list-embed-jobs-2.md
2.9 KiB
list-embed-jobs.md
7.8 KiB
list-models.md
9.8 KiB
lists-fine-tuned-models.md
12 KiB
llamaindex-and-coheres-models.md
2.1 KiB
llm-replies-chatmessagecontentthe-cohere-platform-builds-natural-language-proces.md
2.5 KiB
llm-replies-paris-is-the-capital-of-france-it-is-known-for-its-history-culture-a.md
1.8 KiB
llm.md
791 B
llms-full.txt
2.8 MiB
llms.txt
134 KiB
load-text-files-and-split-into-chunks-you-can-also-use-data-gathered-elsewhere-i-2.md
326 B
load-text-files-and-split-into-chunks-you-can-also-use-data-gathered-elsewhere-i.md
320 B
load-the-cohere-api-key-2.md
96 B
load-the-cohere-api-key-3.md
581 B
load-the-cohere-api-key.md
78 B
load-the-csv-file.md
509 B
load-the-data-into-your-index.md
295 B
load-the-data.md
86 B
load-the-docugamikgragsec10q-dataset.md
2.6 KiB
load-the-documents-as-simple-text-nodes-to-be-passed-to-the-tokenization-process.md
1.2 KiB
load-the-pdf-file-and-extract-its-text-content.md
126 B
load-the-response-data-into-a-json-object.md
102 B
load-up-airbnbs-10-k-from-this-past-fiscal-year-filed-in-2024.md
66 B
long-form-text-strategies-with-cohere.md
3.8 KiB
make-a-request-to-the-model.md
953 B
make-sure-you-have-an-hugging-face-tokenhf-token-in-your-development-environemnt.md
114 B
mapping-for-algorithms.md
2.0 KiB
markdown-mode.md
598 B
markdown-parsing.md
734 B
master-reranking-with-cohere-models.md
1.2 KiB
messagescohereusermessagecontentmessage-2.md
883 B
messagescohereusermessagecontentmessage.md
1.8 KiB
migrating-away-from-create-csv-agent-in-langchain-cohere.md
367 B
migrating-from-api-v1-to-api-v2.md
704 B
migrating-monolithic-prompts-to-command-a-with-rag.md
20 KiB
milvus-and-cohere-integration-guide.md
812 B
model-sizing-update-improvements.md
1.1 KiB
model-vault.md
6.2 KiB
mongodb-and-cohere-integration-guide.md
800 B
multi-step-tool-use-with-cohere.md
59 KiB
multi-step-tool-use.md
6.6 KiB
multilingual-search-with-cohere-and-langchain.md
19 KiB
multilingual-support-for-coclassify.md
316 B
multilingual-text-model-language-detection.md
878 B
new-and-improved-extremely-large-model.md
344 B
new-embed-rerank-chat-and-classify-apis.md
2.9 KiB
new-improved-generation-and-representation-models.md
584 B
new-improved-generation-models.md
335 B
new-logit-bias-experimental-parameter.md
385 B
new-look-for-cohere-documentation.md
465 B
new-maximum-number-of-input-documents-for-rerank.md
359 B
nice-now-lets-ask-a-follow-up-question.md
771 B
note-for-simplicity-we-are-assuming-only-one-query-generated-for-actual-implemen.md
240 B
note-that-assess-claims-takes-exactly-the-same-args-as-with-faithfulness.md
74 B
note-that-in-this-case-the-context-is-the-models-response.md
1.2 KiB
note-the-relevant-passage-in-the-wikipedia-page-were-looking-for-is.md
72 B
notebook-overview-2.md
1.3 KiB
notebook-overview.md
1.2 KiB
now-lets-consider-this-answer-which-we-previously-generated-with-command-r.md
625 B
now-you-can-use-this-db-instance-with-your-langchain-tools-and-agents.md
93 B
once-the-pod-is-running.md
67 B
one-final-dedpulication-step-in-case-multiple-queries-return-the-same-chunk.md
773 B
open-search-and-cohere-integration-guide.md
946 B
optional-eval-dataset.md
854 B
or-save-the-dataset-as-csv.md
335 B
our-groundbreaking-multimodal-model-aya-vision-is-here.md
783 B
parameter-types-for-tool-use-function-calling.md
16 KiB
parameter-types-in-structured-outputs-json.md
9.4 KiB
parsing-sec-step1.md
704 B
pdf-extractor-with-native-multi-step-tool-use.md
2.5 KiB
pdf2image-extracts-as-a-list-of-pilimage-objects-2.md
109 B
pdf2image-extracts-as-a-list-of-pilimage-objects.md
51 B
perform-a-near-text-search-for-documents-related-to-policies-related-to-drug-com.md
356 B
perform-a-near-text-search-with-reranking-for-documents-related-to-property-cont.md
367 B
perform-a-near-text-semantic-search-for-documents.md
332 B
performing-tasks-sequentially-with-coheres-rag.md
14 KiB
pick-the-top-80-longest-articles.md
161 B
pinecone-and-cohere-integration-guide.md
688 B
pip-install-cohere-2.md
90 B
pip-install-cohere-3.md
462 B
pip-install-cohere-4.md
5.4 KiB
pip-install-cohere-5.md
12 KiB
pip-install-cohere-6.md
182 B
pip-install-cohere-hnswlib-unstructured.md
8.9 KiB
pip-install-cohere-hnswlib.md
1.0 KiB
pip-install-cohere-unstructured.md
56 B
pip-install-cohere.md
54 B
pip-install-cohere553.md
50 B
pip-install-pandas-2.md
643 B
pip-install-pandas.md
432 B
pip-install-quiet-langchain-langchain-cohere-langchain-experimental.md
73 B
pip-install-quiet-langchain-langchain-experimental-cohere-upgrade.md
94 B
pip-install-tokenizers.md
74 B
pip-install-u-cohere-2.md
13 KiB
pip-install-u-cohere.md
8.8 KiB
pip-install-wikipedia-qq.md
208 B
poll-the-server-until-the-job-is-complete.md
4.0 KiB
pondr-fostering-connection-through-good-conversation.md
6.3 KiB
preamble-2.md
281 B
preamble-containing-instructions-about-the-task-and-the-desired-style-for-the-ou.md
649 B
preamble.md
233 B
prepare-the-documents-to-be-indexed.md
239 B
presumably-release-it-when-we-os-the-model.md
257 B
pricing-update-and-new-dashboard-ui.md
1021 B
print-a-sample-of-the-reranked-results.md
1.7 KiB
print-a-sample-of-the-top-n-results-without-reranking.md
2.2 KiB
print-citations-if-any-2.md
1.2 KiB
print-citations-if-any.md
9.1 KiB
print-each-entry-in-the-dataset.md
77 B
print-embeddings.md
602 B
print-final-response-2.md
97 B
print-final-response.md
97 B
print-footnotes.md
2.1 KiB
print-out-the-embeddings.md
2.1 KiB
print-the-documents-2.md
162 B
print-the-documents-3.md
162 B
print-the-documents-4.md
162 B
print-the-documents-5.md
162 B
print-the-documents.md
162 B
print-the-final-citations-2.md
795 B
print-the-final-citations-3.md
782 B
print-the-final-citations-4.md
922 B
print-the-final-citations-5.md
434 B
print-the-final-citations.md
576 B
print-the-final-generation-2.md
90 B
print-the-final-generation-3.md
90 B
print-the-final-generation-4.md
90 B
print-the-final-generation-5.md
90 B
print-the-final-generation.md
90 B
print-the-id-of-the-top-ranked-page.md
544 B
print-the-length-of-the-document.md
1.2 KiB
print-the-relevant-documents-from-using-the-embeddings-and-reranker.md
92 B
print-the-result-with-inline-citations.md
58 B
print-the-top-10-results.md
1.3 KiB
printgenerate-responsemessageprompt.md
432 B
private-deployment-overview.md
2.5 KiB
private-deployment-setting-up.md
973 B
private-deployment-usage.md
2.0 KiB
prompt-i-need-a-succinct-summary-of-the-compound-name-indication-route-of-admini.md
191 B
prompt-template-for-each-evaluation.md
2.7 KiB
prompt-template.md
70 B
prompt-what-is-the-recommended-dosage-of-iwilfin-on-body-surface-area-between-05.md
103 B
qdrant-and-cohere-integration-guide.md
975 B
qna-over-multiple-tables-qna-over-multiple-tables.md
571 B
qna-over-multiple-tables-sec-step3.md
227 B
qna-over-single-table-qna-over-single-table.md
6.9 KiB
qna-over-single-table-sec-step2.md
484 B
query-the-index.md
144 B
querying-structured-data-sql.md
2.5 KiB
querying-structured-data-tables.md
11 KiB
question.md
940 B
rag-citations.md
6.0 KiB
rag-pipeline-class-sec-step4.md
9.6 KiB
rag-pipeline-sec-step3.md
4.6 KiB
rag-streaming.md
10 KiB
rag-with-chat-embed-and-rerank-via-pinecone.md
25 KiB
rag.md
514 B
read-in-your-documents.md
327 B
reasoning-capabilities.md
5.1 KiB
reconstruct-the-input-documents-based-on-the-index-provided-in-the-rereank-respo.md
326 B
redis-and-cohere-integration-guide.md
2.4 KiB
redis-filters.md
57 B
reduce-embeddings-to-2-principal-components-to-aid-visualization.md
66 B
reference-documents.md
565 B
refreshed-command-r-and-r-models-now-on-azure.md
631 B
reinitialize-the-query-with-the-filter-expression.md
840 B
release-notes-august-8th-2023-changelog.md
779 B
release-notes-for-june-10th-2024.md
2.0 KiB
release-notes-january-22-2024.md
3.0 KiB
release-notes-june-28th-2023-changelog.md
862 B
release-notes-september-29th-2023.md
1.2 KiB
replace-the-profile-name-with-the-one-created-in-the-setup.md
603 B
replace-the-url-with-your-api-endpoint-2.md
106 B
replace-the-url-with-your-api-endpoint.md
121 B
replace-this-cell-with-your-actual-cohere-api-key.md
110 B
replace-this-with-the-key-for-the-endpoint-2.md
3.5 KiB
replace-this-with-the-key-for-the-endpoint.md
2.1 KiB
required-imports.md
978 B
rerank-api-v2.md
21 KiB
rerank-the-documents-2.md
1.4 KiB
rerank-the-documents-3.md
826 B
rerank-the-documents-4.md
1.0 KiB
rerank-the-documents-5.md
189 B
rerank-the-documents-6.md
1.3 KiB
rerank-the-documents.md
621 B
rerank-the-search-results-for-each-question.md
679 B
reranking-cohere-on-azure-ai-foundry.md
2.0 KiB
reranking-quickstart.md
5.0 KiB
responsemessagecitations.md
2.6 KiB
responsemessagecontent0text.md
107 B
retrieval-augmented-generation-rag-cohere-on-azure-ai-foundry.md
2.2 KiB
retrieval-augmented-generation-rag-quickstart.md
6.2 KiB
retrieval-augmented-generation-rag.md
1.5 KiB
retrieval-evaluation-using-llm-as-a-judge-via-pydantic-ai.md
2.9 KiB
retrieval-of-4-closest-docs-to-query.md
3.8 KiB
retrieve-a-set-of-chunks-from-the-vector-index-and-append-them-to-the-list-of.md
79 B
retrieve-the-documents.md
473 B
retrieve-the-healthcare-compliance-collection-from-the-weaviate-client-2.md
135 B
retrieve-the-healthcare-compliance-collection-from-the-weaviate-client.md
135 B
retrieve-the-legal-docs-collection-from-the-weaviate-client-2.md
113 B
retrieve-the-legal-docs-collection-from-the-weaviate-client.md
113 B
retrieve-the-legal-docs-rag-collection-from-the-weaviate-client.md
121 B
retrieve-the-top-10-most-similar-chunks.md
7.5 KiB
retrieve-training-metrics-for-fine-tuned-models.md
7.4 KiB
retrieved-documents.md
264 B
returns-a-fine-tuned-model-by-id.md
11 KiB
routing-queries-to-data-sources.md
16 KiB
run-agent.md
76 B
run-evaluations-run-evals.md
7.6 KiB
run-search-wikipedia-for-each-question.md
1.2 KiB
run-the-chatbot-2.md
394 B
run-the-chatbot-3.md
12 KiB
run-the-chatbot.md
995 B
run-the-pipeline-to-transform-the-text.md
2.1 KiB
safety-modes.md
12 KiB
sample-event-2.md
326 B
sample-event.md
912 B
sample-events-2.md
536 B
sample-events-3.md
1.2 KiB
sample-events.md
1.1 KiB
sample-output-streamed.md
872 B
sample-response.md
7.6 KiB
save-the-dataset-as-jsonl.md
112 B
save-the-merged-weights-to-your-local-directory-2.md
1.6 KiB
save-the-merged-weights-to-your-local-directory.md
1.6 KiB
save-to-csv.md
798 B
search-the-vector-database.md
142 B
see-coheres-response.md
53 B
select-the-index-of-a-single-datapoint-the-first-one-in-the-dataset.md
79 B
semantic-search-cohere-on-azure-ai-foundry.md
1.8 KiB
semantic-search-quickstart.md
8.6 KiB
semantic-search-with-cohere-embed-jobs.md
6.5 KiB
semantic-search-with-cohere-models.md
1.2 KiB
semantic-search-with-embeddings.md
7.8 KiB
send-a-chat-message-with-chat-history-note-the-last-message-is-the-current-user-.md
1002 B
send-a-chat-message-without-chat-history.md
133 B
send-a-message.md
4.1 KiB
send-messages-to-the-model.md
1.3 KiB
serverless-semantic-search-with-cohere-and-pinecone.md
35 KiB
set-the-tag-filter-on-our-existing-query.md
519 B
set-up-cohere-client-2.md
1.6 KiB
set-up-cohere-client.md
78 B
set-up-your-documents-and-query.md
96 B
setup-sec-step0.md
525 B
setup-setup.md
341 B
short-term-memory-handling-for-agents.md
2.3 KiB
show-chat-history.md
6.2 KiB
snippet-endpythonexample-codetextractgetdocumentanalysis.md
1.6 KiB
snippet-startpythonexample-codetextracttextractwrapper.md
11 KiB
some-examples-to-clarify-the-task.md
1.9 KiB
sort-and-filter-documents-based-on-scores-2.md
96 B
sort-and-filter-documents-based-on-scores.md
96 B
sort-documents-by-version-and-join-the-content-together.md
251 B
source-httpsgithubcomawsdocsaws-doc-sdk-examplestreemainpythonexample-codetextra.md
96 B
source-pytesseract.md
879 B
spdx-license-identifier-apache-20.md
295 B
split-the-text-into-chunks-with-some-overlap.md
6.7 KiB
sql-agent-sec-step1.md
129 B
sql-agent-with-cohere-and-langchain-i-5o-case-study.md
3.7 KiB
sql-agent-with-context-sec-step2.md
9.0 KiB
start-an-embed-job.md
139 B
step-1-get-the-user-message.md
152 B
step-1-get-user-message.md
88 B
step-1-setup-the-prompt-and-the-agent-sec-step1.md
73 B
step-2-conversation-without-memory-sec-step2.md
70 B
step-2-define-the-tool-and-the-agent-sec-step2.md
1.2 KiB
step-2-generate-tool-calls-if-any.md
1.5 KiB
step-2-tool-planning-and-calling.md
951 B
step-3-conversation-with-memory-using-ai-messages-sec-step3.md
369 B
step-3-format-as-data-url.md
460 B
step-3-run-the-agent-sec-step3.md
1.7 KiB
step-3-tool-execution.md
1.5 KiB
step-4-conversation-with-memory-using-ai-messages-and-human-messages-sec-step4.md
2.8 KiB
step-4-response-and-citation-generation.md
126 B
step-5-conversation-with-memory-using-ai-messages-human-messages-and-the-reasoni.md
712 B
store-parsed-documents-in-local-storage.md
2.0 KiB
store-the-embeddings-in-a-vector-database.md
490 B
streaming-for-tool-use-function-calling.md
1.8 KiB
structured-outputs-support-for-tool-use.md
825 B
summarizing-text-with-the-chat-endpoint.md
12 KiB
system-prompt-for-the-ai-evaluator.md
327 B
table-of-content.md
416 B
tables.md
107 B
teams-and-roles-on-the-cohere-platform.md
2.6 KiB
technical-support-faq.md
3.3 KiB
test-the-connection-2.md
11 KiB
test-the-connection.md
546 B
test.md
343 B
text-classification-using-embeddings.md
6.3 KiB
text-generation-cohere-on-azure-ai-foundry.md
1.7 KiB
text-generation-quickstart.md
14 KiB
text-mode.md
522 B
text-parsing.md
228 B
text.md
139 B
the-cases-in-which-the-agent-has-to-produce-an-output-without-using-the-tool.md
80 B
the-cohere-datasets-api-and-how-to-use-it.md
7.4 KiB
the-example-below-generates-outputs-for-each-of-the-n-search-results-where-n-is-.md
2.8 KiB
the-instance-type-for-export-and-inference-now-mlp4de24xlarge-and-mlp548xlarge-a-2.md
1.7 KiB
the-instance-type-for-export-and-inference-now-mlp4de24xlarge-and-mlp548xlarge-a.md
1.6 KiB
the-local-directory-of-your-adapter-weights-no-need-to-specify-this-if-you-bring-2.md
154 B
the-local-directory-of-your-adapter-weights-no-need-to-specify-this-if-you-bring.md
154 B
the-local-directory-you-want-to-save-the-merged-weights-or-the-local-directory-o-2.md
190 B
the-local-directory-you-want-to-save-the-merged-weights-or-the-local-directory-o.md
190 B
the-model-accepts-input-in-base64-as-a-data-url-2.md
1.7 KiB
the-model-accepts-input-in-base64-as-a-data-url.md
1.1 KiB
the-model-parameter-becomes-optional.md
343 B
the-name-of-the-export-2.md
54 B
the-name-of-the-export.md
54 B
the-name-of-the-sagemaker-endpoint-2.md
70 B
the-name-of-the-sagemaker-endpoint.md
70 B
the-new-cohere-model-has-a-context-limit-of-128k-tokens-however-for-the-purpose-.md
142 B
the-retriever-empty-to-start.md
136 B
the-s3-directory-you-want-to-save-the-exported-tensorrt-llm-engine-make-sure-you-2.md
173 B
the-s3-directory-you-want-to-save-the-exported-tensorrt-llm-engine-make-sure-you.md
173 B
the-s3-directory-you-want-to-save-the-merged-weights-2.md
96 B
the-s3-directory-you-want-to-save-the-merged-weights.md
96 B
the-storage-layer-for-the-parent-documents.md
86 B
the-user-query-2.md
64 B
the-user-query.md
64 B
the-vectorstore-to-use-to-index-the-child-chunks.md
139 B
there-may-be-other-dependencies-that-will-need-installation.md
61 B
this-is-where-the-healthcare-compliance-collection-is-created-in-weaviate.md
918 B
this-will-return-a-list-of-length-1-with-the-texts-and-image-in-a-combined-embed.md
611 B
time.md
158 B
to-generate-text-for-each-object-in-the-search-results-use-the-single-prompt-met.md
87 B
to-the-root-of-this-juyter-notebook.md
141 B
to-use-the-tavily-tool-you-will-need-to-set-an-api-key-in-the-tavily-api-key-env.md
188 B
to-view-the-source-documents.md
691 B
todo-host-this-pdf-somewhere.md
82 B
todo-replace-with-a-hf-implementation-so-this-is-much-faster-well.md
70 B
tokenize-the-prompt.md
878 B
tokenize.md
11 KiB
tool-name-search-code-examples-parameters-endpointschatprogramming-languagepyque.md
2.1 KiB
tool-name-search-code-examples-parameters-endpointsembedrerankquery.md
1.5 KiB
tool-name-search-code-examples-parameters-programming-languagejsquery.md
1.1 KiB
tool-name-search-code-examples-parameters-queryrag-code-examples.md
903 B
tool-use-agents-cohere-on-azure-ai-foundry.md
1.7 KiB
tool-use-agents-quickstart.md
8.5 KiB
tool-use.md
8.2 KiB
toolkit-setup-sec-step0.md
451 B
top-chunks-after-rerank-resultdocumenttext-for-result-in-response.md
1.9 KiB
topic-modeling-system-for-ai-papers.md
5.0 KiB
trains-and-deploys-a-fine-tuned-model.md
14 KiB
truncated-for-brevity.md
1.7 KiB
try-out-an-example.md
350 B
uncomment-if-you-need-to-install-the-following-packages-2.md
57 B
uncomment-if-you-need-to-install-the-following-packages-3.md
57 B
uncomment-if-you-need-to-install-the-following-packages-4.md
165 B
uncomment-if-you-need-to-install-the-following-packages-5.md
645 B
uncomment-if-you-need-to-install-the-following-packages.md
57 B
uncomment-if-you-want-to-use-mistral-2.md
234 B
uncomment-if-you-want-to-use-mistral.md
97 B
unlocking-the-power-of-multimodal-embeddings.md
1.9 KiB
unsupported-features-in-v2.md
399 B
untitled.md
316 B
update-a-connector.md
14 KiB
updated-small-medium-and-large-generation-models.md
420 B
updates-a-fine-tuned-model.md
15 KiB
upload-a-dataset-for-embed-jobs.md
345 B
upload-a-dataset.md
141 B
usage-patterns-for-tool-use-function-calling.md
11 KiB
usage-policy.md
8.2 KiB
use-a-dynamic-batch-process-to-add-multiple-documents-to-the-collection-efficien-2.md
758 B
use-a-dynamic-batch-process-to-add-multiple-documents-to-the-collection-efficien-3.md
618 B
use-a-dynamic-batch-process-to-add-multiple-documents-to-the-collection-efficien.md
534 B
use-the-bulk-endpoint-to-index.md
1.1 KiB
use-the-cohere-vectorizer-again-to-create-a-query-embedding.md
831 B
use-the-functions.md
118 B
user-message.md
59 B
user-query-we-will-use-for-the-generation.md
74 B
user-turn-1.md
282 B
user-turn-2.md
156 B
using-cohere-models-via-the-openai-sdk.md
21 KiB
using-coheres-models-to-work-with-image-inputs.md
12 KiB
using-langchain-here-since-they-have-access-to-the-unstructured-data-loader-powe.md
175 B
using-the-cohere-chat-api-for-text-generation.md
7.6 KiB
using-the-csv-agent.md
83 B
vector-store-setup-sec-step2.md
1.8 KiB
versioned-parsed-documents-batch-process-documents.md
55 B
versions-2.md
7.1 KiB
versions-3.md
6.2 KiB
versions.md
4.7 KiB
vespa-and-cohere-integration-guide.md
818 B
view-the-top-5-articles.md
921 B
wait-for-the-dataset-to-finish-validation.md
2.1 KiB
wait-for-validation-to-complete.md
5.5 KiB
we-access-the-only-page-in-this-sample-pdf-by-indexing-at-0.md
1.4 KiB
we-can-now-compute-the-final-correctness-score.md
841 B
we-can-now-instantiate-the-evaluator.md
80 B
we-compute-the-final-coverage-score.md
1.0 KiB
we-look-at-the-first-page-as-a-sanity-check.md
1.8 KiB
weaviate-and-cohere-integration-guide.md
1.3 KiB
welcome-to-llm-university.md
813 B
which-here-we-will-call-context-as-you-will-see-we-will-use-different-contexts.md
85 B
wikipedia-semantic-search-with-cohere-embedding-archives.md
4.4 KiB
wikipedia-semantic-search-with-cohere-weaviate.md
10 KiB
working-with-coheres-api-and-sdk.md
4.8 KiB
yes-there-are-fitness-related-benefits-we-offer-gym-memberships-on-site-yoga-cla.md
530 B
yes-we-offer-gym-memberships-on-site-yoga-classes-and-comprehensive-health-insur.md
1.4 KiB
you-can-download-following-example-datasets-from-httpsgithubcomcohere-aicohere-d.md
148 B
zilliz-and-cohere-integration-guide.md
1.1 KiB