RagTune helps inspect, debug, benchmark, and tune retrieval for retrieval augmented generation systems.
Open source
24 alternativesVearch
Vearch provides distributed vector search capabilities for applications built around artificial intelligence.
About Vearch
Vearch is an open-source, cloud-native distributed vector database for similarity search over embedding vectors in AI applications. It supports hybrid search that combines vector retrieval with scalar filtering, and its architecture separates a master for schema and cluster metadata, a router for RESTful upsert, delete, search and query requests, and partition servers that hold document partitions with raft-based replication. The project describes search over millions of objects in milliseconds and offers replication and elastic scaling out. Clients are available as Python, Go, Java and Rust SDKs, and it integrates with LangChain, LlamaIndex, Langchaingo and LangChain4j. Deployment options include Kubernetes via Helm, Docker Compose in standalone or cluster mode, Docker, or compiling from source. Vearch is licensed under Apache License 2.0. No pricing or hosted service is stated in the source.
Key features
- Hybrid search combining vector similarity with scalar filtering
- Project-stated retrieval from millions of objects in milliseconds
- Replication and elastic scaling out across partition servers
- RESTful API for upsert, delete, search and query
- Python, Go, Java and Rust client SDKs
- Integrations with LangChain, LlamaIndex, Langchaingo and LangChain4j
Best for: Developers building AI applications such as retrieval-augmented generation or visual search who want a self-hosted, open-source distributed vector database.
Good for
- Open source under the Apache License 2.0
- Combines vector search and scalar filtering in one system
- Raft-based replication with elastic scaling out for clusters
Watch out for
- No pricing or managed hosting is stated; users deploy and operate it themselves
- Installation relies on Kubernetes/Helm, Docker Compose, Docker or compiling from source
- The described visual search demo also requires an image retrieval plugin for object detection and feature extraction
Vearch at a glance
- Website
- github.com/vearch/vearch
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Vearch FAQ
Which deployment methods does Vearch support?
Kubernetes via a Helm repository or local charts, Docker Compose in standalone or cluster mode, Docker deployment, or compiling from source code.
Which client SDKs are available?
Python, Go, Java and Rust SDKs are listed, alongside RESTful and OpenAPI documentation.
What license does Vearch use?
Vearch is licensed under the Apache License, Version 2.0.
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