# LanceDB Vector Search

> Use this tool when you need to perform similarity searches on vector databases or enable AI assistants to retrieve relevant information from large document collections. It solves problems related to information retrieval, document search, and text-to-vector embedding conversion, providing capabilities for adding vectors, searching by text or vector, and listing tables. Ideal for RAG applications, it takes in text or vector inputs and outputs relevant search results, making it a valuable asset for AI-powered information retrieval tasks.

Canonical page: https://skillsregistry.net/skills/vurtnec-lancedb-vector-search  
JSON: https://api.skillsregistry.net/v1/skills/vurtnec-lancedb-vector-search

## Description

LanceDB-node is an MCP server that provides vector search capabilities using LanceDB and Ollama's embedding model. Developed by Vurtnec, it enables AI assistants to perform similarity searches on vector databases through a set of tools for adding vectors, searching by text or vector, and listing tables. The server connects to a local LanceDB database and uses Ollama for text-to-vector embedding conversion, making it particularly valuable for RAG (Retrieval Augmented Generation) applications where AI assistants need to search through document collections without switching context.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/vurtnec-lancedb-vector-search)
- **Repository:** <https://github.com/vurtnec/mcp-lancedb-node>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vurtnec-lancedb-vector-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vurtnec-lancedb-vector-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vurtnec-lancedb-vector-search/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt