LanceDB FAQs

Question 1

What is LanceDB MCP Server?

Accepted Answer

It's a server that enables Large Language Models (LLMs) to directly interact with on-disk documents using agentic Retrieval-Augmented Generation (RAG) and hybrid search powered by LanceDB. It allows LLMs to ask questions about the dataset or specific documents.

Question 2

What are the key features of LanceDB for LLMs?

Accepted Answer

Key features include a LanceDB-powered serverless vector index, document summary catalog, efficient LLM token usage, local index storage for enhanced security, and support for agentic RAG and hybrid search.

Question 3

How does LanceDB improve LLM performance?

Accepted Answer

LanceDB provides efficient vector search capabilities and a document summary catalog, enabling LLMs to quickly find relevant information and reduce token usage by only retrieving what's needed. This improves response times and reduces costs.

Question 4

What kind of security does LanceDB offer?

Accepted Answer

LanceDB stores the vector index locally, ensuring that no data is transferred to the cloud when using a local LLM. This provides enhanced data privacy and security.

Question 5

What are some example prompts I can use with LanceDB and an LLM?

Accepted Answer

You can try prompts like 'What documents do we have in the catalog?' or 'Why is the US healthcare system so broken?'. These prompts demonstrate the LLM's ability to query the knowledge base managed by LanceDB.

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