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How to run a local vector database for your RAG app with Qdrant

Start Qdrant in Docker, connect from Python and store your embeddings with payloads.

Short answer: Run docker run -p 6333:6333 qdrant/qdrant to start the server; then install the Python client and connect with QdrantClient(url="http://localhost:6333"); Store your embeddings as points with a JSON payload such as source, date or tags. All steps.

insecure-default. The Docker command starts an instance without authentication, open to all network interfaces, so keep it on a private machine or secure it first.

Who it is forA developer prototyping a RAG or semantic search app who wants a real vector store on a laptop.

The problemKeeping embeddings in memory or in files does not scale, and filtering by metadata gets messy fast.

The outcomeA Qdrant server on localhost with a collection your app can search and filter.

What you need first

  • Docker for the local server, or a free tier cluster on Qdrant Cloud
  • A client library, for example the Python client
  • Embeddings from a model of your choice

Steps

  1. Run docker run -p 6333:6333 qdrant/qdrant to start the server
  2. Install the Python client and connect with QdrantClient(url="http://localhost:6333")
  3. Store your embeddings as points with a JSON payload such as source, date or tags
  4. Use the Web UI to explore collections and test queries
  5. Read the installation and security guides before moving anything to production

Prompt for your agent

Start qdrant/qdrant locally with Docker, create a collection for my <documents>, embed them with <model>, and upsert them with payloads for source and date. Then run a search for <query> filtered by <condition> and show me the results.

Caveat. Qdrant stores and searches vectors; you still need an embedding model to create them.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for qdrant/qdrant and "Run a local vector database for your RAG app"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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