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FlagEmbedding_tutorial
If you are new to here, check out the 5 minute quick start!
Tutorial roadmap
Embedding
This module includes tutorials and demos showing how to use BGE and Sentence Transformers, as well as other embedding related topics.
Similarity
In this part, we show popular similarity functions and techniques about searching.
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
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
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.