Internal Knowledge Base Chatbot with RAG

Tools that fit

Watch out for

• ⚠ Large documents may exceed token limits so implement a hierarchical summarization step before embedding the full text.
• ⚠ Stale data can mislead users so add a timestamp check in the retrieval filter to prioritize recently updated documentation.
• ⚠ Hallucinations occur when context is ambiguous so enforce a strict citation requirement in the output prompt format.
• ⚠ Vector search latency increases with scale so configure MongoDB Atlas with appropriate vector indexes and limit top_k results.

Seen in the wild

• n8n: Build a Knowledge Base Chatbot with OpenAI, RAG and MongoDB Vector Embeddin template

Who it's for

Frequently asked questions

Related use cases

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