RAG Knowledge Bases
Give each agent its own searchable knowledge base using Retrieval-Augmented Generation.
Features
Document Collections
Upload documents (PDF, text, markdown) to per-agent or shared collections. Documents are automatically chunked and embedded.
Semantic Search
Query knowledge bases using natural language. Results are ranked by relevance using vector similarity.
Context Injection
Automatically inject relevant context from the knowledge base into agent prompts. Improves accuracy and reduces hallucinations.
Version Control
Track document versions. Roll back to previous versions if updated documents cause quality regressions.