Contextual Retrieval in Python: Improve RAG Chunks Before Embedding
Add context to each chunk before embedding: use section-aware prefixes and intent tags to fix RAG retrieval and avoid fragmentary or hallucinated answers.
Follow a tiny, deterministic Python pattern that boosts top-hit relevance, improves query coverage, and surfaces correct evidence for LLM responses.
Hands-on with Python, hashlib, token overlap recall, and a minimal embedding retriever—scalable to production embedders and ANN indexes.
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