Vetted Recommended

Weaviate

Teams that need multimodal search, built-in vectorization modules, and a broader search platform.

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Verdict

“Teams that need multimodal search, built-in vectorization modules, and a broader search platform.”

Teams that need multimodal search, built-in vectorization modules, and a broader search platform.

Pros

Why teams pick it

Full LangChain vector store integration with hybrid search and module support.
Native LlamaIndex integration supporting Weaviate's GraphQL query capabilities.
text2vec-openai module handles embedding generation automatically on ingest.
Works through LangChain integration or direct REST calls from edge functions.

Cons

Where it gives ground

Go-based runtime with Java HNSW can consume significantly more memory than Rust-based alternatives.
GraphQL query API has a steeper learning curve than simple REST-based vector search APIs.

Pricing

What the commercial model looks like

Open Source

$0 /mo

classes: unlimited
vectors: unlimited
deployment: self-hosted
support_sla: community

Serverless

Most popular

$0 /mo

vectors: usage-based
support_sla: standard
storage_units: pay per use

Enterprise Cloud

$300 /mo

sso: true
vectors: usage-based
replication: true
support_sla: enterprise
private_networking: true

Enterprise

$500 /mo

support: Priority
seats: Unlimited

Appears in

Where this tool shows up

Chroma vs Weaviate Weaviate vs Pgvector

Key stats

The practical snapshot

Docs quality: 8.8
Quickstart: 8 min
Starts at: $0

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