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. Subscribe for practical AI engineering and LLM systems tutorials. #RAG #RetrievalAugmentedGeneration #Embeddings #AIEngineering #Python #LLM #VectorSearch