Vector DB Live Tracker

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# Vector DB Live Tracker

Live-updating landscape of vector database projects, integrations, and benchmarks — refreshed every 15 minutes

[![Stars](https://img.shields.io/github/stars/linny006/vector-db-live?style=for-the-badge&logo=github)](https://github.com/linny006/vector-db-live/stargazers)
[![Last Commit](https://img.shields.io/github/last-commit/linny006/vector-db-live?style=for-the-badge)](https://github.com/linny006/vector-db-live/commits)
[![Items](https://img.shields.io/badge/Tracked_Items-50-brightgreen?style=for-the-badge)](#)
[![Updated](https://img.shields.io/badge/Updates-every_15min-blue?style=for-the-badge)](#)

**⭐ Star this repo to bookmark — fresh data every 15 minutes**

[English](./README.md) · [中文](./README_CN.md) · [日本語](./README_JA.md) · [한국어](./README_KO.md) · [Español](./README_ES.md) · [Português](./README_PT.md)

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## 💡 What is this?

Automatically tracks and compares the vector database ecosystem by pulling live data from GitHub, package registries, and release feeds. Generates a structured, always-current comparison table covering maturity, integrations, language support, and recent activity for projects like pgvector, Qdrant, Chroma, Weaviate, and Milvus.

This list is **auto-updated every 15 minutes** by a GitHub Actions cron.
Each commit reflects a real change in the upstream data source — new items added,
expired items removed — so you can rely on what you see being current.

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## 📋 Current Items

> ⏰ Last updated: 2026-10-14 06:30 UTC
>
> Data source: `GitHub Search API`
>
> The table below is rewritten on every cron tick. Star the repo to bookmark.

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| # | Name | ⭐ | Lang | Updated | Description |
|---|------|---|------|---------|-------------|
| 1 | [joydeep-07/Lens-LM](https://github.com/joydeep-07/Lens-LM) | 1 | JavaScript | 2026-10-14 | Lens LM is an AI powered document assistant that combines Retrieval Augmented Generation (RAG) with Groq powered LLMs to |
| 2 | [scotth96/llmaker](https://github.com/scotth96/llmaker) | 0 | Go | 2026-10-14 | Selfhost modern LLM stacks. Run the whole fleet from your terminal |
| 3 | [thekaveh/atlas](https://github.com/thekaveh/atlas) | 4 | Python | 2026-10-14 | Atlas — self-hosted, source-configurable engineering platform for gen-AI, RAG, ML and data work: 58 service families (Ol |
| 4 | [abhishekkapoorx/DEVOPS-AGENT](https://github.com/abhishekkapoorx/DEVOPS-AGENT) | 0 | Python | 2026-10-14 | Autonomous DevOps agent that automates deployments, infrastructure management, and troubleshooting across cloud environm |
| 5 | [mancini04/vektori](https://github.com/mancini04/vektori) | 0 | Python | 2026-10-14 | Memory that remembers the story not just the facts. File System Memory and Three layer  sentence graph for AI agents ->  |
| 6 | [zilliztech/vector-graph-rag](https://github.com/zilliztech/vector-graph-rag) | 258 | Python | 2026-10-14 | Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios. |
| 7 | [luciafox502/LLMFlex](https://github.com/luciafox502/LLMFlex) | 0 | Python | 2026-10-14 | A python package for developing AI applications with local LLMs. |
| 8 | [ishandutta2007/Awesome-Real-Time-Vector-Database-Sharding](https://github.com/ishandutta2007/Awesome-Real-Time-Vector-Database-Sharding) | 0 | — | 2026-10-14 | Top Real Time Vector Database Sharding (Opensource)  Star if you like it!  |
| 9 | [Yoruxyv/semantix](https://github.com/Yoruxyv/semantix) | 1 | Python | 2026-10-14 | Semantic caching playground with AI providers, embeddings, benchmarking, and explainable cache retrieval. |
| 10 | [RohannShetty/DocHarvest](https://github.com/RohannShetty/DocHarvest) | 2 | Python | 2026-10-14 | Turn any documentation portal (GitBook, Mintlify, Docusaurus, ReadTheDocs) into LLM-ready Markdown, vector RAG JSONL, ll |
| 11 | [lioensky/VCPToolBox](https://github.com/lioensky/VCPToolBox) | 2369 | JavaScript | 2026-10-14 | VCP 部署在 AI 模型 API 与前端应用之间，是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架，将原本“无状态、无记忆、无工具调用能力”的大语言模型，彻底改 |
| 12 | [nadeem4/nl2sql](https://github.com/nadeem4/nl2sql) | 4 | Python | 2026-10-14 | Ask your database questions in English. The model emits a typed query plan, never SQL text - validated against the real  |
| 13 | [linny006/vector-db-live](https://github.com/linny006/vector-db-live) | 3 | Python | 2026-10-14 | Live-updating landscape of vector database projects, integrations, and benchmarks — refreshed every  |
| 14 | [linny006/rag-radar](https://github.com/linny006/rag-radar) | 3 | Python | 2026-10-14 | Live tracker of new RAG implementations, tools, and patterns — updated every 15 minutes |
| 15 | [liliang-cn/cortexdb](https://github.com/liliang-cn/cortexdb) | 381 | Go | 2026-10-14 | AI memory and a knowledge graph in one SQLite file. Pure Go: vectors, RAG, agent memory, RDF/SPARQL, Cypher, 80+ MCP too |
| 16 | [MrPeppersDev/agent-infrastructure-landscape](ht

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