Connect Qdrant to any AI.

Make your documents and conversations searchable by Claude or ChatGPT: the AI searches your Qdrant collections by meaning, read-only.

Read from Qdrant when someone asks. Nothing exported, nothing copied, and nothing in Qdrant ever changes.

Qdrant connects to FrontierOps once, and any AI your team uses, such as Claude, ChatGPT, Grok or Perplexity, reaches it through that connection.
  1. Qdrant Data & warehouses
  2. FrontierOps Permissions, definitions, record
  3. Any AI The AI your team uses
Examples

Ask in any language. Answered from Qdrant.

What it can do

What the AI can read in Qdrant. Nothing it can change.

It can read

Read-only by default
  • Search a collection by meaning, with an optional filter on document fields
  • Distinct documents rather than repeated chunks, and more varied results on request
  • Fetch points by id, count them, or page through a collection
  • Only the default collection and the ones you allow-list on the connection: any other name is refused

It cannot change

Read-only

The Qdrant connection has no write actions. Nothing in Qdrant changes because someone asked a question.

Why connect it

How the Qdrant integration works.

Policies, contracts, help articles and past conversations are hard to search by keyword: the answer is there, worded differently. With your documents indexed in Qdrant, the AI finds passages by meaning, returns distinct documents instead of ten pieces of the same one, and reads only the collections you allowed for it.

Questions

What people ask about connecting Qdrant.

Can the AI add or delete documents in Qdrant?

No. The connection is read-only: search, fetch, count, page through and describe. Documents get into a collection through a FrontierOps pipeline, never through the AI.

Can one bot see another team’s documents?

Only if you allow it. Each connection reads its default collection plus the ones you allow-list, and a bot can be limited further to the documents from its own chat or channel. The AI cannot widen either limit.

Which embedding model does it use?

The one you pick on the connection, from the AI providers you have set up. Each question is embedded with that model when the search runs.

Is this a Qdrant MCP server?

Yes, and one built for a whole company. FrontierOps gives Claude, ChatGPT and any other MCP client one connection to Qdrant, set up once by an admin. What each role can read or change is decided in FrontierOps, and every call is on record, instead of each person running their own server with their own login.

Why not connect Qdrant to Claude or ChatGPT directly?

A direct connection links one AI to Qdrant through one person’s login, with that person’s settings. That works for one person. For a team it means no shared definitions, no single place to decide who can see or change what, and starting over when you switch AI. Through FrontierOps, Qdrant is connected once, for every AI and every agent, under one set of permissions, with every call on record.

Works well with

One connection each. One set of rules across all of them.

See every integration

Bring one question about Qdrant. We’ll connect it with you.