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LlamaIndex vs Weaviate

Weaviate scores higher on the AgentReady, 74/100 against 52/100. They differ on 12 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

LlamaIndex. LlamaIndex provides document parsing and extraction tools that turn complex documents into AI-ready context.

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 LlamaIndex is ahead

LlamaIndex passes agent-compatible signup flow, and Weaviate does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

It also holds operate: observable execution. Weaviate misses it.

Where Weaviate is ahead

Weaviate passes clear canonical domain, clear product positioning and mcp discoverable, and LlamaIndex 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. LlamaIndex misses it.

And on adopt, programmatic credential creation, cli available and mcp integration available. LlamaIndex misses those.

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

What neither does

Both fail openapi / spec quality, authentication documented, request examples provided, response examples provided, no mandatory sales call, structured, predictable output, retry behavior documented, 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. Weaviate leads 100 to 67. LlamaIndex misses clear canonical domain, clear product positioning, mcp discoverable; Weaviate misses nothing.

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

Adopt. Weaviate leads 80 to 60. LlamaIndex misses no mandatory sales call, programmatic credential creation, cli available, mcp integration available; Weaviate misses no mandatory sales call, agent-compatible signup flow.

Operate. Weaviate leads 53 to 35. LlamaIndex misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Weaviate misses structured, predictable output, retry behavior documented, observable execution, agent compatibility verified.

Pricing

LlamaIndex starts at $0/mo 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: LlamaIndex and Weaviate. Alternatives to each: LlamaIndex, Weaviate.

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