VectorDB
Vector search and storage are the focus of VectorDB, a Python vector database project.
About VectorDB
VectorDB is an open source Python vector database project hosted on GitHub. It provides Create, Read, Update, and Delete (CRUD) operations for vector data, along with sharding and replication for scaling. The project describes itself as a lean Python library with no added layers beyond what it needs. It is built on DocArray for vector search logic and on Jina for index serving.
The database can run locally, on-premise, or in the cloud. Users define a document schema with DocArray's dataclass syntax, choose a pre-built index such as InMemoryExactNNVectorDB or HNSWVectorDB, index documents, and run nearest-neighbour searches. The same database can be exposed as a service over gRPC, HTTP, or Websocket. The homepage also describes deployment to Jina AI Cloud, which requires a Jina AI Cloud account. Pricing for the project is not stated.
Key features
- CRUD operations (Create, Read, Update, Delete) for vector documents
- Sharding and replication for scalability
- Pre-built indexes including InMemoryExactNNVectorDB and HNSWVectorDB
- Document schemas defined with DocArray dataclass syntax
- Nearest-neighbour search results returned in a matches attribute
- Serving over gRPC, HTTP, and Websocket protocols
Best for: Python developers who want to add vector search to an application and run the database locally, on their own servers, or in the cloud.
Good for
- Open source project with a public GitHub repository
- Built on DocArray for search logic and Jina for index serving
- Can be deployed in local, on-premise, and cloud environments
Watch out for
- Deployment to Jina AI Cloud requires a Jina AI Cloud account
- Pricing information is not stated on the homepage
VectorDB at a glance
- Website
- github.com/jina-ai/vectordb
- Category
- Development › APIs & Databases
- 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
Guides for APIs & Databases
VectorDB alternatives
Tools and sites you could use instead, ranked by how closely they match.
ParadeDB adds full text search, vector retrieval, and aggregations to PostgreSQL.
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Distributed vector search is provided by Vald, an engine designed to scale across deployments.
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PostgreSQL vector search can use pgvecto.rs, an extension described as scalable and low latency.
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AI search and serving structured data are provided by Vespa, an open-source software platform.
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An open-source vector database, Weaviate stores objects and vectors and supports vector search.
Vector similarity search is provided by Qdrant, an open-source search engine written in Rust.
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VectorDB FAQ
Which communication protocols can the database be served over?
The homepage states that vectordb can be served as a service using gRPC, HTTP, and Websocket protocols.
How is the database deployed to Jina AI Cloud?
The homepage describes signing up for a Jina AI Cloud account, logging in with the jc command line, and deploying the instance with the vectordb deploy command.
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