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Vespa vs Zilliz

Vespa scores higher on the AgentReady, 56/100 against 49/100. They differ on 6 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

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.

Zilliz. Zilliz offers a fully managed Vector Lakebase powered by Milvus, unifying real-time vector search, lake-scale discovery, and AI data operations.

Where Vespa is ahead

Vespa passes llms-full.txt / full agent docs, and Zilliz 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. Zilliz misses those.

And on adopt, fast time to first request and copyable quickstart. Zilliz misses those.

Where Zilliz is ahead

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

What neither does

Both fail mcp discoverable, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, 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. Vespa leads 87 to 80. Vespa misses mcp discoverable; Zilliz misses llms-full.txt / full agent docs, mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Vespa leads 46 to 31. Vespa misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented; Zilliz misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Vespa leads 55 to 45. Vespa misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available; Zilliz misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, mcp integration available.

Operate. Zilliz leads 39 to 35. Vespa misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Zilliz misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Vespa starts at $0.05/hour with no free tier. Zilliz does not publish one and has a 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: Vespa and Zilliz. Alternatives to each: Vespa, Zilliz.

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