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Milvus vs turbopuffer

turbopuffer scores higher on the AgentReady, 53/100 against 34/100. They differ on 7 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.

turbopuffer. turbopuffer is a fast, object-storage native search engine providing vector and full-text search built on object storage.

Where turbopuffer is ahead

turbopuffer passes 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 adopt: self-service signup and fast time to first request. Milvus misses those.

And on operate, structured, predictable output and observable execution. Milvus misses those.

What neither does

Both fail clear canonical domain, mcp discoverable, structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, agent-compatible signup flow, programmatic credential creation, cli available, mcp integration available, 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. turbopuffer leads 80 to 47. Milvus misses clear canonical domain, clear product positioning, public docs discoverable, llms-full.txt / full agent docs, mcp discoverable; turbopuffer misses clear canonical domain, mcp discoverable.

Understand. Both sit at 23/100 here. Milvus misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; turbopuffer misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. turbopuffer leads 60 to 40. Milvus misses self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request, cli available, mcp integration available; turbopuffer misses agent-compatible signup flow, programmatic credential creation, cli available, mcp integration available.

Operate. turbopuffer leads 47 to 24. Milvus misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; turbopuffer misses 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. turbopuffer starts at $16/month with no free tier.

Signal by signal

Which to pick

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

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