Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Storage and retrieval for embeddings: vector indexes, hybrid search and ANN libraries.
Signals: vector-database, vector-search, vector-store, similarity-search, approximate-nearest-neighbor, ann-search, faiss, hnsw
195 results
Super performant RAG pipelines for AI apps. Summarization, Retrieve/Rerank and Code Interpreters in one simple API.
Mercury - Train your own custom GPT. Chat with any file, or website.
Semantic Search on Wikipedia with Upstash Vector
Your Local Artificial Memory on your Device.
A dead-simple API to build LLM-powered apps
The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.
ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs
local-first semantic code search engine
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
The Best GUI for Milvus
Postgres with GPUs for ML/AI apps.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
OramaCore is the complete runtime you need for your projects, answer engines, copilots, and search. It includes a fully-fledged full-text search engine, vector database, LLM interface, and many more utilities.
The definitive guide to using Vector Search to solve your semantic search production workload needs.
Mimir - Fully open and customizable memory bank with semantic vector search capabilities for locally indexed files (Code Intelligence) and stored memories that are shared across sessions and chat contexts allowing worker agent to learn from errors in past runs. Includes Drag and Drop multi-agent orchestration
Neural Search
Weaviate vector database – examples
Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577
Framework for benchmarking vector search engines
In-memory vector store with efficient read and write performance for semantic caching and retrieval system. Redis for Semantic Caching.
A tiny embedding database in pure Rust.
✨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
24,523 repositories in the index in total.
