Better RAG: Hybrid Search in Chat with Documents | BM25 and Ensemble

Learn Advanced RAG concepts to talk your chat with documents to the next level with Hybrid Search. We will look at BM25 algorithm along with ensemble retriever. The implementation will be in langchain.


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LINKS:
How to properly chunk documents:    • LangChain: How to Properly Split your...  
Chat with PDF:    • Custom GUI App for Open-Assistant API...  
Chat with PDF file:    • ChatGPT for YOUR OWN PDF files with L...  
Google Collab: http://tinyurl.com/33wc8sav


TIMESTAMPS:
[00:00] Introduction to Advanced RAG Pipelines
[00:11] Understanding the Basics of RAG Pipelines
[01:49] Improving RAG Pipelines with Hybrid Search
[02:55] Code Example: Implementing Hybrid Search
[05:08] Loading and Processing the PDF File
[06:24] Creating Embeddings and Vector Store
[08:46] Setting Up the Retrievers
[12:52] Running the Model and Analyzing the Output


All Interesting Videos:
Everything LangChain:    • LangChain  

Everything LLM:    • Large Language Models  

Everything Midjourney:    • MidJourney Tutorials  

AI Image Generation:    • AI Image Generation Tutorials