actian/vectorai repository overview

What is Actian VectorAI DB?

Actian VectorAI DB is a high-performance vector database designed to deliver fast, reliable semantic retrieval for AI applications across local, on-prem, and cloud environments. It enables developers to build and deploy RAG pipelines, agents, and AI-powered features with consistent performance and full control over where data and models run.

For more information, read the detailed Actian VectorAI DB Documentation⁠.

Join our community
Connect with other VectorAI DB developers and contributors on our Discord server⁠.

Resources

• Website⁠
• Developer Hub⁠
• Developer Blog⁠
• Dev.to⁠
• X⁠
• LinkedIn⁠

QuickStarts

Container

docker run -d --name vectorai -v vectorai_data:/var/lib/actian-vectorai -p 6573-6575:6573-6575 -e ACTIAN_VECTORAI_ACCEPT_EULA=YES actian/vectorai:latest

Python Client

pip install actian-vectorai-client

from actian_vectorai import VectorAIClient
client = VectorAIClient('localhost:6574')

JavaScript Client

import { VectorAIClient, Field, Filter } from '@actian/vectorai-client';

const client = new VectorAIClient('localhost:6574');

Demo Samples

• Provided in the local UI

Highlighted features:

• Deploy locally in disconnected environments
• Edge-to-cloud scalability
• Ready to embed
• Hybrid search
• Mutli-vector search
• 1,000+ QPS on 1 million vectors (768 dimensions)

Integrations

• LangChain
• LlamaIndex

APIs

• gRPC
• REST

License
By default, this image runs the VectorAI DB Community Edition. For more information about commercial license tiers, capacity upgrades, and pricing, please visit https://www.actian.com/databases/vectorai-db-pricing⁠.

End User License Agreement EULA⁠