How to evaluate retrieval in RAG pipelines
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- Опубликовано: 8 сен 2024
- In this video, we'll learn how to use a library called ranx to evaluate the quality of the search results returned in a RAG pipeline. We'll compare Full-Text Search, Vector Search, and Hybrid Search, all using DuckDB.
#duckdb #rag
Code - github.com/mne...
Ranx - amenra.github....
llama.cpp - llama-cpp-pyth...
I wish to use Qdrant vector store, can you give some guidance on how to switch from duckdb to qdrant for your given example here?
If you look at this video we use Qdrant - ruclips.net/video/gigip1Pxf88/видео.html
Let me know if you need more than that and maybe I can do another video.