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RAG Architecture142 sources · 38 followers
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Semantic chunkingis the recommended approach. Use document-aware parsing, apply semantic boundaries, and keep 10-15% overlap between chunks. For Q&A: 256-512 tokens. For summarization: 512-1024...
Chunking Guide · 0.92Vector DB Comparison · 0.71

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RAG Architecture
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rag-patterns.pdfwaiting
https://langchain.com/docswaiting
chunking-notes.mdwaiting
embeddings-benchmark.csvwaiting

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How do I implement hybrid search?
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Combine dense vectors (semantic similarity) with sparse vectors (BM25 keyword matching). Use Reciprocal Rank Fusion to merge results...
Vector DB Guide 0.94Search Patterns 0.87Qdrant Docs 0.81IR Fundamentals 0.72

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