LLM APIs for Knowledge Base Search: RAG, Permissions, Citations, and Feedback
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Knowledge Base AIRAGLLM APIEnterprise Search
Knowledge base search is one of the most practical LLM use cases. Users ask natural language questions and receive answers grounded in company content.
Core architecture
Use:
- document ingestion
- chunking
- embeddings
- retrieval
- reranking
- LLM answer generation
- citations
Permissions
Search results must respect user access. Enforce permissions before retrieved content reaches the model.
Feedback loops
Track bad answers, missing documents, low-confidence responses, and user feedback. Improve retrieval before switching models.
Final thoughts
AI knowledge base search succeeds when retrieval, permissions, citations, and feedback are treated as core product features.