Knowledge Retrieval

Perform semantic search over a pre-ingested document collection using Retrieval-Augmented Generation (RAG). Backed by LlamaIndex with ChromaDB or NVIDIA Foundational RAG.

When to Use

• Searching internal or pre-ingested documents and reports
• Finding information in PDFs, whitepapers, or technical documentation
• Retrieving domain-specific knowledge not available on the open web
• This is the highest priority source — check the knowledge base first before web or paper searches

How to Use

1. Formulate a semantic search query describing the information needed
2. Call knowledge_retrieval with the query
3. Review returned chunks for relevance
4. Note the citation metadata (filename, page number) for sourcing

Result Format