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Qdrant vs Weaviate

Weaviate scores higher on the AgentReady, 74/100 against 58/100. They differ on 10 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Qdrant. Qdrant is a high-performance vector search engine that helps build AI retrieval systems.

Weaviate. Weaviate is an open-source, AI vector database designed to store and index both data objects and their vector embeddings, enabling advanced semantic search capabilities.

Where Qdrant is ahead

Qdrant passes authentication documented, and Weaviate does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

It also holds adopt: no mandatory sales call. Weaviate misses it.

Where Weaviate is ahead

Weaviate passes public docs discoverable and llms-full.txt / full agent docs, and Qdrant does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: errors and status codes documented and limits / constraints documented. Qdrant misses those.

And on adopt, programmatic credential creation. Qdrant misses it.

Finally, on operate, machine-readable errors, idempotency support and rate-limit behavior predictable. Qdrant misses those.

What neither does

Both fail openapi / spec quality, request examples provided, response examples provided, agent-compatible signup flow, structured, predictable output, retry behavior documented, observable execution, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover. Weaviate leads 100 to 80. Qdrant misses public docs discoverable, llms-full.txt / full agent docs; Weaviate misses nothing.

Understand. Weaviate leads 62 to 46. Qdrant misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Weaviate misses openapi / spec quality, authentication documented, request examples provided, response examples provided.

Adopt. Both sit at 80/100 here. Qdrant misses agent-compatible signup flow, programmatic credential creation; Weaviate misses no mandatory sales call, agent-compatible signup flow.

Operate is whether an agent can run against it in production and recover when a call fails. Weaviate leads 53 to 24. Qdrant misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Weaviate misses structured, predictable output, retry behavior documented, observable execution, agent compatibility verified.

Pricing

Qdrant does not publish a machine-readable starting price and has a free tier. Weaviate does not publish one and has a free tier.

Signal by signal

Which to pick

Weaviate clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Qdrant and Weaviate. Alternatives to each: Qdrant, Weaviate.

An agent can fetch this as data: POST /v1/compare {"slugs": ["qdrant", "weaviate"]}