🗄️

Qdrant

🟢Safe

Data & Storage

Implement semantic memory layer on top of the Qdrant vector search engine

STEP 1

Understand what it does

Tell your agent things like:

→“use qdrant”

→“query database”

→“store data”

→“manage records”

PERMISSIONS

What this capability can access

This capability requires the following permissions:

🔑

Requires API Keys

Needs authentication credentials

📖

Read Files

Reads local files and directories

🌐

Read External Data

Fetches data from external sources

STEP 2

Set it up

Available on 2 platforms. Pick yours:

MCP (Model Context Protocol)Docs

Add to your MCP client configuration:

{
  "mcpServers": {
    "qdrant": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-qdrant"]
    }
  }
}

LangChainDocs

$ pip install langchain-community

from langchain_community.tools import ...
# See docs for specific import

STEP 3

Go deeper

Full documentation and source code

View Source / Docs Explore Data & Storage

Add to your README

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