You can add large amounts of information in a vector database and integrate it with Langdock. When building an assistant, you can connect your vector database and let the assistant perform an embedding search across your data. Langdock currently supports: We will add the following vector databases in the next weeks:
  • Databricks
  • Vertex
Our knowledge folders are actually vector databases under the hood, just with a simpler interface. If you want to get started quickly without technical setup, knowledge folders are perfect. 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.