Vearch

Overview

Vearch is ranked #19 of 27 in vector databases on Specifiction. It runs on API, Self-hosted.

Compared on vector databases

Deployment

self-hostedvearch.github.io

Metadata filtering

Yesvearch.github.io

Index types

HNSW, IVFPQ, GPU, IVFFLAT, BINARYIVF, FLATvearch.github.io

SDK languages

Python, Go, Java, Rustvearch.github.io

Facts

Product

Vearch is a cloud-native distributed vector database for similarity search of embedding vectors in AI applications.github.com · 4 Oct 2026

Hybrid search

It supports vector search combined with scalar filtering.github.com · 4 Oct 2026

Scale and reliability

The project describes replication and elastic scale-out as features, and says it can retrieve millions of objects in milliseconds.github.com · 4 Oct 2026

API

The Router provides RESTful upsert, delete, search, and query operations.github.com · 4 Oct 2026

SDKs

The project lists Python, Go, Java, and Rust client SDKs.github.com · 4 Oct 2026

Integrations

The project lists integrations with LangChain, LlamaIndex, LangChainGo, and LangChain4j.github.com · 4 Oct 2026

License

Vearch is licensed under the Apache License, Version 2.0.github.com · 4 Oct 2026

Community support

The project points users to GitHub Issues, an email discussion group, and a Slack channel for questions and support.github.com · 4 Oct 2026

Visual search requirement

The VisualSearch demo requires an image retrieval plugin for object detection and feature extraction.github.com · 4 Oct 2026

Where it ranks on Specifiction

• Best Vector Databases in 2026#19 of 27

Sources

• github.com/vearch/vearch· checked 4 Oct 2026