Compare

Deepset vs Zilliz

Zilliz scores higher on the AgentReady, 49/100 against 44/100. 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

Deepset. Deepset is a company that provides Haystack, an open platform to build, run, and govern AI agents and 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 Deepset is ahead

Deepset passes mcp discoverable, and Zilliz does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: mcp integration available. Zilliz misses it.

Where Zilliz is ahead

Zilliz passes clear product positioning and public docs discoverable, and Deepset does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: authentication documented. Deepset misses it.

And on adopt, official typescript sdk. Deepset misses it.

What neither does

Both fail llms-full.txt / full agent docs, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, 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. Zilliz leads 80 to 67. Deepset misses clear product positioning, public docs discoverable, llms-full.txt / full agent docs; Zilliz misses llms-full.txt / full agent docs, mcp discoverable.

Understand. Zilliz leads 31 to 23. Deepset misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Zilliz misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Deepset leads 50 to 45. Deepset misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk; 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. Deepset 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

Deepset starts at $0/mo and has a free tier. Zilliz does not publish one and has a free tier.

Signal by signal

Which to pick

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

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