Knowledge bases use vector search with a simpler interface. If you want to get started quickly without technical setup, Knowledge bases are a good fit. For high volume or specialized use cases where you need custom chunking, metadata, or specific embedding models, a dedicated vector database gives you full control.
FAQ
When should I use a vector database integration?
When should I use a vector database integration?
Use a vector database when your organization already stores searchable embeddings outside Langdock or needs custom retrieval infrastructure. Use Langdock Knowledge bases when you want Langdock to manage document processing and retrieval.
What should I check if vector search results are poor?
What should I check if vector search results are poor?
Check embedding quality, chunking, metadata filters, query wording, and whether the correct index is connected. Retrieval quality often depends on how the source data was prepared before Langdock queries it.