Context Window Enhancement
This code implements a context enrichment window technique for document retrieval in a vector database. It enhances the standard retrieval process by adding surrounding context to each retrieved chunk, improving the coherence and completeness of the returned information.
Traditional vector search often returns isolated chunks of text, which may lack necessary context for full understanding. This approach aims to provide a more comprehensive view of the retrieved information by including neighboring text chunks.
What you'll learn
- 1PDF processing and text chunking
- 2Vector store creation using FAISS and OpenAI embeddings
- 3Custom retrieval function with context window
- 4Comparison between standard and context-enriched retrieval
About this tutorial
This hands-on Jupyter notebook is part of RAG Techniques, a free open-source repository by Nir Diamant covering rag techniques with runnable code examples and detailed explanations.
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