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Milvus vs Vespa

Vespa scores higher on the AgentReady, 56/100 against 34/100. They differ on 11 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Milvus. An open-source vector database built for GenAI applications.

Vespa. Vespa.ai develops the Vespa AI Search Platform, a distributed serving engine that unifies retrieval, ranking, machine learning inference, and real-time serving for business-critical AI applications.

Where Milvus is ahead

Milvus passes no mandatory sales call, and Vespa does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

Where Vespa is ahead

Vespa passes clear canonical domain, clear product positioning, public docs discoverable and llms-full.txt / full agent docs, and Milvus does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: structured api reference and limits / constraints documented. Milvus misses those.

And on adopt, self-service signup, fast time to first request and cli available. Milvus misses those.

Finally, on operate, observable execution. Milvus misses it.

What neither does

Both fail mcp discoverable, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, agent-compatible signup flow, programmatic credential creation, mcp integration available, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, 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 is whether an agent can find the product at all without being told it exists. Vespa leads 87 to 47. Milvus misses clear canonical domain, clear product positioning, public docs discoverable, llms-full.txt / full agent docs, mcp discoverable; Vespa misses mcp discoverable.

Understand. Vespa leads 46 to 23. Milvus misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Vespa misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt. Vespa leads 55 to 40. Milvus misses self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request, cli available, mcp integration available; Vespa misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.

Operate. Vespa leads 35 to 24. Milvus misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Vespa misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Milvus does not publish a machine-readable starting price and has a free tier. Vespa starts at $0.05/hour with no free tier.

Signal by signal

Which to pick

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

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