Trending AI repositories

meilisearch/

meilisearch

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

milvus-io/

milvus

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

qdrant/

qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

onyx-dot-app/

onyx

Open Source AI Platform - AI Chat with advanced features that works with every LLM

Tencent/

WeKnora

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

weaviate/

weaviate

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

neuml/

txtai

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

StarTrail-org/

LEANN

[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

RyanCodrai/

turbovec

A vector index built on TurboQuant, written in Rust with Python bindings

oramasearch/

orama

🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

oceanbase/

oceanbase

The Fastest Distributed Database for Transactional, Analytical, and AI Workloads.

databendlabs/

databend

Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.

vespa-engine/

vespa

The AI search platform

superduper-io/

superduper

Superduper: End-to-end framework for building custom AI applications and agents.

infiniflow/

infinity

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

giancarloerra/

SocratiCode

Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.

pinecone-io/

examples

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

vearch/

vearch

Distributed vector search for AI-native applications

SeekStorm/

SeekStorm

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

supervc-stack/

VectorChord

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

qdrant/

qdrant-client

Python client for Qdrant vector search engine

zilliztech/

VectorDBBench

Benchmark for vector databases.

philippgille/

chromem-go

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

ArcadeData/

arcadedb

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

PrithivirajDamodaran/

FlashRank

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

weaviate/

recipes

This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!

epsilla-cloud/

vectordb

Epsilla is a high performance Vector Database Management System

orneryd/

NornicDB

Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.

christopherkarani/

Wax

Single-file memory layer for AI agents, sub mili-second RAG on Apple Silicon. Metal Optimized On-Device. No Server. No API. One File. Pure Swift

jina-ai/

vectordb

A Python vector database you just need - no more, no less.