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Vector Search
Retrieval pipelines that combine chunking, embeddings, metadata, reranking, permissions, and evaluation.
Retrieval is a system
Vector search is only one piece. Useful retrieval requires source quality, chunk strategy, metadata, freshness, access control, and feedback from failed answers.
- Chunking and overlap policies
- Hybrid semantic and keyword retrieval
- Reranking and citation shaping
- Evaluation against known questions and failures