# Flagembedding

> .. autoclass:: FlagEmbedding.abc.evaluation.AbsEvalArgs

## Pages

- [Arguments](api-abc-evaluation-arguments.md): Arguments
- [dataset loader](api-abc-evaluation-data-loader.md): dataset loader
- [Evaluator](api-abc-evaluation-evaluator.md): Evaluator
- [runner](api-abc-evaluation-runner.md): runner
- [Searcher](api-abc-evaluation-searcher.md): ========
- [Evaluation](api-abc-evaluation.md): Evaluation
- [AbsArguments](api-abc-finetune-embedder-absarguments.md): AbsArguments
- [Absdataset](api-abc-finetune-embedder-absdataset.md): ==========
- [Absmodeling](api-abc-finetune-embedder-absmodeling.md): ===========
- [Absrunner](api-abc-finetune-embedder-absrunner.md): =========
- [Abstrainer](api-abc-finetune-embedder-abstrainer.md): ==========
- [Embedder](api-abc-finetune-embedder.md): Embedder
- [AbsArguments](api-abc-finetune-reranker-absarguments.md): AbsArguments
- [Absdataset](api-abc-finetune-reranker-absdataset.md): ==========
- [Absmodeling](api-abc-finetune-reranker-absmodeling.md): ===========
- [Absrunner](api-abc-finetune-reranker-absrunner.md): =========
- [Abstrainer](api-abc-finetune-reranker-abstrainer.md): ==========
- [Reranker](api-abc-finetune-reranker.md): Reranker
- [Finetune](api-abc-finetune.md): Finetune
- [AbsEmbedder](api-abc-inference-absembedder.md): AbsEmbedder
- [AbsReranker](api-abc-inference-absreranker.md): AbsReranker
- [Inference](api-abc-inference.md): Inference
- [Abstract Class](api-abc.md): Abstract Class
- [arguments](api-evaluation-airbench-arguments.md): arguments
- [runner](api-evaluation-airbench-runner.md): runner
- [AIR-Bench](api-evaluation-airbench.md): AIR-Bench
- [arguments](api-evaluation-beir-arguments.md): arguments
- [data loader](api-evaluation-beir-data-loader.md): data loader
- [evaluator](api-evaluation-beir-evaluator.md): evaluator
- [runner](api-evaluation-beir-runner.md): runner
- [BEIR](api-evaluation-beir.md): BEIR
- [data_loader](api-evaluation-miracl-data-loader.md): data_loader
- [runner](api-evaluation-miracl-runner.md): runner
- [MIRACL](api-evaluation-miracl.md): MIRACL
- [data_loader](api-evaluation-mkqa-data-loader.md): data_loader
- [evaluator](api-evaluation-mkqa-evaluator.md): evaluator
- [runner](api-evaluation-mkqa-runner.md): runner
- [MKQA](api-evaluation-mkqa.md): MKQA
- [data_loader](api-evaluation-mldr-data-loader.md): data_loader
- [runner](api-evaluation-mldr-runner.md): runner
- [MLDR](api-evaluation-mldr.md): MLDR
- [data_loader](api-evaluation-msmarco-data-loader.md): data_loader
- [runner](api-evaluation-msmarco-runner.md): runner
- [MSMARCO](api-evaluation-msmarco.md): MSMARCO
- [arguments](api-evaluation-mteb-arguments.md): arguments
- [runner](api-evaluation-mteb-runner.md): runner
- [searcher](api-evaluation-mteb-searcher.md): searcher
- [MTEB](api-evaluation-mteb.md): MTEB
- [Evaluation](api-evaluation.md): Evaluation
- [Arguments](api-finetune-embedder-decoder-only-base-arguments.md): Arguments
- [Modeling](api-finetune-embedder-decoder-only-base-modeling.md): ========
- [Runner](api-finetune-embedder-decoder-only-base-runner.md): Runner
- [Trainer](api-finetune-embedder-decoder-only-base-trainer.md): Trainer
- [Base](api-finetune-embedder-decoder-only-base.md): Base
- [Arguments](api-finetune-embedder-decoder-only-icl-arguments.md): Arguments
- [Dataset](api-finetune-embedder-decoder-only-icl-dataset.md): =======
- [Modeling](api-finetune-embedder-decoder-only-icl-modeling.md): ========
- [Runner](api-finetune-embedder-decoder-only-icl-runner.md): Runner
- [Trainer](api-finetune-embedder-decoder-only-icl-trainer.md): Trainer
- [ICL](api-finetune-embedder-decoder-only-icl.md): ICL
- [Decoder Only](api-finetune-embedder-decoder-only.md): Decoder Only
- [Modeling](api-finetune-embedder-encoder-only-base-modeling.md): Modeling
- [Runner](api-finetune-embedder-encoder-only-base-runner.md): Runner
- [Trainer](api-finetune-embedder-encoder-only-base-trainer.md): Trainer
- [Base](api-finetune-embedder-encoder-only-base.md): Base
- [Arguments](api-finetune-embedder-encoder-only-m3-arguments.md): Arguments
- [Modeling](api-finetune-embedder-encoder-only-m3-modeling.md): ========
- [Runner](api-finetune-embedder-encoder-only-m3-runner.md): Runner
- [Trainer](api-finetune-embedder-encoder-only-m3-trainer.md): Trainer
- [M3](api-finetune-embedder-encoder-only-m3.md): M3
- [Encoder Only](api-finetune-embedder-encoder-only.md): Encoder Only
- [Embedder](api-finetune-embedder.md): Embedder
- [Arguments](api-finetune-reranker-decoder-only-base-arguments.md): Arguments
- [Modeling](api-finetune-reranker-decoder-only-base-modeling.md): ========
- [Runner](api-finetune-reranker-decoder-only-base-runner.md): Runner
- [Trainer](api-finetune-reranker-decoder-only-base-trainer.md): Trainer
- [Base](api-finetune-reranker-decoder-only-base.md): Base
- [Arguments](api-finetune-reranker-decoder-only-layerwise-arguments.md): Arguments
- [Modeling](api-finetune-reranker-decoder-only-layerwise-modeling.md): ========
- [Runner](api-finetune-reranker-decoder-only-layerwise-runner.md): Runner
- [Trainer](api-finetune-reranker-decoder-only-layerwise-trainer.md): Trainer
- [Layerwise](api-finetune-reranker-decoder-only-layerwise.md): Layerwise
- [Decoder Only](api-finetune-reranker-decoder-only.md): Decoder Only
- [Modeling](api-finetune-reranker-encoder-only-base-modeling.md): Modeling
- [Runner](api-finetune-reranker-encoder-only-base-runner.md): Runner
- [Trainer](api-finetune-reranker-encoder-only-base-trainer.md): Trainer
- [Base](api-finetune-reranker-encoder-only-base.md): Base
- [Encoder Only](api-finetune-reranker-encoder-only.md): Encoder Only
- [Reranker](api-finetune-reranker.md): Reranker
- [Finetune](api-finetune.md): Finetune
- [API](api.md): API
- [FlagAutoModel](api-inference-flagautomodel.md): FlagAutoModel
- [FlagAutoReranker](api-inference-flagautoreranker.md): FlagAutoReranker
- [BaseEmbedder](api-inference-embedder-decoder-only-basellmembedder.md): BaseEmbedder
- [ICLLLMEmbedder](api-inference-embedder-decoder-only-iclllmembedder.md): ICLLLMEmbedder
- [Embedder](api-inference-embedder-embedder.md): Embedder
- [BaseEmbedder](api-inference-embedder-encoder-only-baseembedder.md): BaseEmbedder
- [M3Embedder](api-inference-embedder-encoder-only-m3embedder.md): M3Embedder
- [BaseLLMReranker](api-inference-reranker-decoder-only-basellmreranker.md): BaseLLMReranker
- [LayerWiseLLMReranker](api-inference-reranker-decoder-only-layerwisellmreranker.md): LayerWiseLLMReranker
- [LightweightLLMReranker](api-inference-reranker-decoder-only-lightweightllmreranker.md): LightweightLLMReranker
- [BaseReranker](api-inference-reranker-encoder-only-basereranker.md): BaseReranker
- [Reranker](api-inference-reranker-reranker.md): Reranker
- [Inference](api-inference.md): Inference
- [C Mteb](c-mteb.md): .. C-MTEB
- [FAQ](faq.md): FAQ
- [Information Retrieval](introduction-ir.md): Information Retrieval
- [Embedder](introduction-embedder.md): Embedder
- [Introduction](introduction.md): Introduction
- [Installation](introduction-installation.md): :github_url:
- [Overview](introduction-overview.md): Overview
- [Quick Start](introduction-quick-start.md): Quick Start
- [Reranker](introduction-reranker.md): Reranker
- [Similarity](introduction-similarity.md): Similarity
- [BGE-Code-v1](bge-bge-code.md): BGE-Code-v1
- [BGE-EN-ICL](bge-bge-icl.md): BGE-EN-ICL
- [Bge_M3](bge-bge-m3.md): ======
- [BGE-Reranker](bge-bge-reranker.md): BGE-Reranker
- [BGE-Reranker-v2](bge-bge-reranker-v2.md): BGE-Reranker-v2
- [BGE v1 & v1.5](bge-bge-v1-v15.md): BGE v1 & v1.5
- [BGE-VL](bge-bge-vl.md): BGE-VL
- [BGE](bge.md): BGE
- [Community](community.md): Community
- [Index](index.md): .. FlagEmbedding documentation master file, created by
- [1. Embedding](tutorial-1-embedding.md): 1. Embedding
- [2. Metrics](tutorial-2-metrics.md): 2. Metrics
- [3. Indexing](tutorial-3-indexing.md): 3. Indexing
- [4. Evaluation](tutorial-4-evaluation.md): 4. Evaluation
- [5. Reranking](tutorial-5-reranking.md): 5. Reranking
- [6. RAG](tutorial-6-rag.md): 6. RAG
- [7. Finetuning](tutorial-7-finetuning.md): 7. Finetuning
- [Tutorials](tutorial.md): Tutorials
- [Evaluation](research-long-llm-activation-beacon-examples-evaluation.md): Make sure you have created the environment and downloaded the data according to [README](../README.md).
- [Training](research-long-llm-activation-beacon-examples-training.md): There are two stages in training:
- [Evaluation](research-llm-embedder-docs-evaluation.md): LLM-Embedder supports 6 retrieval-augmentation tasks tailored for modern LLMs, including:
- [Fine-tuning](research-llm-embedder-docs-fine-tune.md): It is recommended that you create a new environment:
- [Q&A Example](research-old-examples-search-demo-readme.md): Vector Database can help LLMs to access external knowledge.