All repositories

RAG & vector DBsmilvus-io

milvus

A vector database for embedding search at large scale. It scales to cloud workloads, and for prototypes there is a lightweight local version, Milvus Lite.

Who it is for

For engineers who need a production vector database for millions of vectors.

How to start

  1. Install the client: pip install -U pymilvus.
  2. For a quick try, install pymilvus[milvus-lite] and create MilvusClient("milvus_demo.db").
  3. For a real server, connect to Milvus or Zilliz Cloud with the same MilvusClient.

Steps are taken from the README. Check the current version in the repository before running them.

Stars over the last 30 days

+365Sep 6 — Oct 6
45,95546,320

Author's description

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

microsoft

markitdown

Growing fastest

A small Microsoft utility that converts PDF, Word, PowerPoint, Excel and other files into Markdown that is easy to hand to a language model.

189Kstars+11K in 30 dPython

firecrawl

firecrawl

Growing fastest

A service that turns any website into clean Markdown or structured data for models. It can search, scrape, crawl a whole site and even click through a page.

189Kstars+12K in 30 dTypeScript

infiniflow

ragflow

A ready-made RAG engine with a UI: it parses documents with templates, chunks them, searches with citations and supports agentic retrieval. Deploys with Docker.

92Kstars+1.8K in 30 dGo

unclecode

crawl4ai

An open-source Python crawler: it visits pages with a real browser and returns clean Markdown for LLMs. Runs locally, in Docker or as a cloud service.

85Kstars+3.2K in 30 dPython

opendatalab

MinerU

Parses complex PDFs, scans and Office files into Markdown or JSON while keeping tables and formulas. Comes with a CLI, a Python SDK and an agent skill.

81Kstars+2K in 30 dPython

docling-project

docling

An IBM library for document parsing: PDF, Office, HTML and images become one unified structure from which Markdown is easy to get. Supports vision models for hard pages.

68Kstars+2.5K in 30 dPython