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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
GitHub stars and default-branch commits for alvinreal/awesome-opensource-ai.
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Free and Open Source, Distributed, RESTful Search Engine
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
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/
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
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.
A lightweight, lightning-fast, in-process vector database
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
🔎 Open source distributed and RESTful search engine.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.
Cloud-native OSS search engine for observability
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
🌌 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.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work.
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Ecommerce Search and Discovery - marqo.ai
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
JVector: the most advanced embedded vector search engine
Apache Solr open-source search software