Beyond RAG: Structured Data and Hybrid Search for AI Knowledge Bases
goyalshaliniuk · x · 2026-10-14
- Structured data knowledge bases: store information in relational tables, JSON, or databases so the AI queries specific fields and records — ideal for customer info, product catalogs, financial records, and inventory where precise values, filtering, and aggregation matter. Tools: PostgreSQL, MySQL.
- Hybrid search: combine vector search for meaning with keyword search for exact terms, merging rankings — best for enterprise search, documentation, and technical knowledge bases with product names, IDs, or exact phrases. Tools: Elasticsearch, OpenSearch.
Related event: Seven Ways to Build AI Knowledge Bases Beyond Vector Search(5 posts)→
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