MilvusVector DatabasesMilvus is an Apache 2.0 vector database for searching text, image and multi-modal data, from the Milvus Lite quickstart to distributed clusters or Zilliz Cloud.Open sourceSelf-hostedFreemiumViews · 7 daysTop 29%
Vector Databases
Databases built to store and search vector embeddings for semantic search and AI retrieval.
4 results in Vector Databases
Active Pro listings from this category appear first. Your sort applies within Pro and Free results.
MilvusVector DatabasesMilvus is an Apache 2.0 vector database for searching text, image and multi-modal data, from the Milvus Lite quickstart to distributed clusters or Zilliz Cloud.Open sourceSelf-hostedFreemium22 views46,608 stars
OmnigraphDatabasesOmnigraph is a Rust graph database from Modern Relay that stores graphs as Lance files on local disk or S3-compatible storage. It adds typed .pg schemas, branches with three-way merge, vector and full-text search, Cedar policy and MCP access.Open sourceSelf-hostedViews · 7 daysNo views in 7 days
SeekStormSearch EnginesSeekStorm is an Apache-2.0 search engine in Rust with BM25F full-text search, an IVF vector index and hybrid queries fused with RRF. It ships as a library, a multi-tenancy REST server with web UI, an MCP server and SeekStorm Cloud.Open sourceSelf-hostedFreemiumViews · 7 daysNo views in 7 days
WeaviateVector DatabasesWeaviate is a cloud-native vector database that stores objects and vectors and combines vector search with keyword filtering and reranking in one query interface.Open sourceSelf-hostedFreemiumViews · 7 daysTop 29%
Shortlists for Vector Databases
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How to choose vector databases tools
Vector Databases tools support a defined technical workload. Start with the systems, users and operating constraints the tool must cover before comparing individual features.
Who uses these tools
- Technical owners responsible for the workload
- Operators who deploy, secure and support the system
- Teams evaluating integrations, cost and migration risk
Capabilities to compare
- Core workflow and platform coverage
- Deployment, identity and integration controls
- Administration, observability and recovery
Operating considerations
- Compatibility with the current environment
- Security, data location and access boundaries
- Migration effort, support and total operating cost
Selection checklist
- Write down the production workload, scale and failure scenarios.
- Test the most important integration and an export or recovery path.
- Verify current limits, licensing and support in official documentation.
What belongs in this category: A listing belongs in Vector Databases when this workload is a primary product function rather than a secondary integration or marketing label.
Vector Databases on iThub in figures
iThub lists 4 tools in Vector Databases. 4 of 4 are open source, 4 of 4 can be self-hosted, 4 of 4 have a free, freemium or open-source pricing model and 3 of 4 offer an API.
- Tools listed
- 4
- Open source
- 4
- Self-hostable
- 4
- Free to start
- 4
- With an API
- 3
- Web app
- 1
- Desktop app
- 1
Decision resources
Continue the technical evaluation
Use the resources that match your decision stage. Profile data and linked sources were refreshed through November 11, 2026.
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