Topics / #faiss

Faiss projects on GitHub

Fast similarity search and clustering of dense vectors with FAISS.

As of , the most-starred Faiss projects on GitHub are milvus (46.4K stars), Langchain-Chatchat (38.7K stars) and turbovec (17.4K stars). GitHub.Locker tracks 7 Faiss repositories with 148.4K stars combined. The fastest-growing on October 16 was turbovec, with +12 stars in a day.

7Projects
148.4KStars in total
+37Stars in a day
Browse in the catalog →github.com/topics/faiss ↗

Hot right now

Most stars gained in a day · Oct 16

+12

turbovec

RyanCodrai/turbovec · ★ 17.4K

A vector index for nearest-neighbor search over embeddings, written in Rust with Python bindings. It is built on Google Research's TurboQuant quantization and aimed at RAG where memory, latency and privacy matter.

+11

milvus

milvus-io/milvus · ★ 46.4K

Milvus is a high-performance, cloud-native vector database built to store and search embedding vectors at scale for AI applications like semantic search, RAG, and recommendation systems.

+6

Langchain-Chatchat

chatchat-space/Langchain-Chatchat · ★ 38.7K

Langchain-Chatchat is an open-source RAG and Agent application that lets you build a local-knowledge-base Q&A chatbot using LLMs like ChatGLM, Qwen or Llama through the LangChain framework.

+4

memvid

memvid/memvid · ★ 16.6K

Memvid is a single-file memory layer for AI agents: it packs your data, embeddings and search index into one portable .mv2 file, so agents get instant retrieval and long-term memory without a RAG pipeline or a vector database server.

The all-time top

7 projects · by stars

  1. #1 · milvus-io/milvus

    milvus

    Milvus is a high-performance, cloud-native vector database built to store and search embedding vectors at scale for AI applications like semantic search, RAG, and recommendation systems.

    46.4K
  2. #2 · chatchat-space/Langchain-Chatchat

    Langchain-Chatchat

    Langchain-Chatchat is an open-source RAG and Agent application that lets you build a local-knowledge-base Q&A chatbot using LLMs like ChatGLM, Qwen or Llama through the LangChain framework.

    38.7K
  3. #3 · RyanCodrai/turbovec

    turbovec

    A vector index for nearest-neighbor search over embeddings, written in Rust with Python bindings. It is built on Google Research's TurboQuant quantization and aimed at RAG where memory, latency and privacy matter.

    17.4K
  1. 4

    memvid

    16.6Kmemvid/memvid · Rust

    Memvid is a single-file memory layer for AI agents: it packs your data, embeddings and search index into one portable .mv2 file, so agents get instant retrieval and long-term memory without a RAG pipeline or a vector database server.

  2. 5

    zvec

    16.1Kalibaba/zvec · C++

    Alibaba's open-source, in-process vector database — a lightweight, lightning-fast similarity-search engine you embed directly into your application, battle-tested inside Alibaba Group.

  3. 6

    LEANN

    13KStarTrail-org/LEANN · Python

    LEANN is a vector database that lets you run retrieval-augmented generation (RAG) over millions of personal documents on your own laptop using 97% less storage than traditional vector databases, with no accuracy loss.

  4. 7

    jarviscore-framework

    189Prescott-Data/jarviscore-framework · Python

    JarvisCore is a Python framework for building AI agent systems that can plan, reason, execute code, browse the web, search the internet, and connect to 150 external services out of the box.

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