Chroma vs Weaviate
Compare data AI Tools
Open-source vector database with a managed cloud. Offers vector, keyword, and regex search with simple client libraries, usage-based pricing, and team plans for production apps.
Open source vector database with hybrid search, modular retrieval and managed cloud options for production RAG and semantic apps at any scale.
Feature Tags Comparison
Key Features
- Open-source core with identical APIs on managed Cloud
- Vector
- keyword
- and regex search for hybrid retrieval
- Usage-based pricing with a $0 starter and team plan
- Simple client libraries and docs for quick prototyping
- Schema aware vector store with filters hybrid BM25 and metadata
- Managed cloud with shared clusters and HA plus backups
- Hosted embeddings add on for simple end to end setup
- Query Agent to convert natural language into operations
- SDKs for Python TypeScript Go and a clean HTTP API
- Sharding replication and snapshots for resilience at scale
Use Cases
- RAG backends for chat and agents with hybrid filters
- Semantic search for docs
- notes
- and support portals
- Product search blending vector and keywords for relevance
- Analytics on unstructured text with metadata slicing
- Power RAG backends that mix semantic and keyword filters
- Search product catalogs with facets and relevance controls
- Index documents and images for unified multimodal retrieval
- Prototype quickly in OSS then migrate to managed cloud
- Serve low latency queries for chat memory or agents
- Automate backups and snapshots for compliance
Perfect For
developers data engineers and platform teams building RAG search and analytics who need an OSS path and a managed cloud with predictable pricing
ML engineers platform teams data engineers and startups that need reliable vector search with OSS flexibility and managed cloud simplicity
Capabilities
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