Topics / #vector-search-engine

Vector-search-engine projects on GitHub

Engines for similarity search over vector embeddings.

As of , the most-starred Vector-search-engine projects on GitHub are qdrant (35.1K stars), chroma (29.5K stars) and weaviate (16.9K stars). GitHub.Locker tracks 5 Vector-search-engine repositories with 105.1K stars combined. The fastest-growing on October 17 was qdrant, with +9 stars in a day.

5Projects
105.1KStars in total
+21Stars in a day
Browse in the catalog →github.com/topics/vector-search-engine ↗

Hot right now

Most stars gained in a day · Oct 17

+9

qdrant

qdrant/qdrant · ★ 35.1K

Qdrant is a high-performance vector similarity search engine and vector database written in Rust, built to store, search, and manage 'points' (vectors plus a JSON payload) for AI applications like semantic search, recommendations, and RAG.

+8

chroma

chroma-core/chroma · ★ 29.5K

Chroma is open-source data infrastructure for AI: a vector database that powers search for embeddings, used for things like retrieval-augmented generation (RAG) and AI agent memory.

+2

txtai

neuml/txtai · ★ 13K

txtai is an all-in-one AI framework for semantic search, LLM orchestration and language model workflows. Its core is an embeddings database that combines vector indexes, graph networks and relational databases to power search or serve as a knowledge source for LLM apps.

+2

orama

oramasearch/orama · ★ 10.6K

Orama is a complete search engine and RAG pipeline that runs in your browser, on a server or at the edge, with support for full-text, vector and hybrid search.

The all-time top

5 projects · by stars

  1. #1 · qdrant/qdrant

    qdrant

    Qdrant is a high-performance vector similarity search engine and vector database written in Rust, built to store, search, and manage 'points' (vectors plus a JSON payload) for AI applications like semantic search, recommendations, and RAG.

    35.1K
  2. #2 · chroma-core/chroma

    chroma

    Chroma is open-source data infrastructure for AI: a vector database that powers search for embeddings, used for things like retrieval-augmented generation (RAG) and AI agent memory.

    29.5K
  3. #3 · weaviate/weaviate

    weaviate

    Weaviate is an open-source, cloud-native vector database: it stores objects and vectors together and lets you combine vector search with structured filtering for semantic search at scale.

    16.9K
  1. 4

    txtai

    13Kneuml/txtai · Python

    txtai is an all-in-one AI framework for semantic search, LLM orchestration and language model workflows. Its core is an embeddings database that combines vector indexes, graph networks and relational databases to power search or serve as a knowledge source for LLM apps.

  2. 5

    orama

    10.6Koramasearch/orama · TypeScript

    Orama is a complete search engine and RAG pipeline that runs in your browser, on a server or at the edge, with support for full-text, vector and hybrid search.

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