2024-09-09 21:17:13 +08:00

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# FlagEmbedding_tutorial
If you are new to here, check out the 5 minute [quick start](./quick_start.ipynb)!
<details>
<summary>Tutorial roadmap</summary>
<img src="./tutorial_map.png"/>
</details>
## [Embedding](./1_Embedding)
This module includes tutorials and demos showing how to use BGE and Sentence Transformers, as well as other embedding related topics.
## [Similarity](./2_Similarity)
In this part, we show popular similarity functions and techniques about searching.
## [Indexing](./3_Indexing)
Although not included in the quick start, indexing is a very important part in practical cases. This module shows how to use popular libraries like Faiss and Milvus to do indexing.
## [Evaluation](./4_Evaluation)
In this module, we'll show the full pipeline of evaluating an embedding model, as well as popular benchmarks like MTEB and C-MTEB.
## [Reranking](./5_Reranking/)
To balance accuracy and efficiency tradeoff, many retrieval system use a more efficient retriever to quickly narrow down the candidates. Then use more accurate models do reranking for the final results.