Stars
Fast and minimal header-only graph-based index for approximate nearest neighbor search (ANNS). https://blaisemuhirwa.github.io/flatnav
libSQL is a fork of SQLite that is both Open Source, and Open Contributions.
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…
OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constr…
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
A package to generate summaries of long-form text and evaluate the coherence of these summaries. Official package for our ICLR 2024 paper, "BooookScore: A systematic exploration of book-length summ…
Single-document unsupervised keyword extraction Yake implement
Framework for evaluating ANNS algorithms on billion scale datasets.
Keyphrase Digger (KD) is a rule-based system for keyphrase extraction.
vsag is a vector indexing library used for similarity search.
[EMNLP 2024 Findings] OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.
In-memory vector store with efficient read and write performance for semantic caching and retrieval system. Redis for Semantic Caching.
A vector search SQLite extension that runs anywhere!
Android Database - first and fast, lightweight on-device vector database
A modular graph-based Retrieval-Augmented Generation (RAG) system
A library of algorithms for approximate nearest neighbor search in high dimensions, along with a set of useful tools for designing such algorithms.
MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relati…
ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
⚡FlashRAG: A Python Toolkit for Efficient RAG Research
High-performance retrieval engine for unstructured data
All-in-one infrastructure for search, recommendations, RAG, and analytics offered via API
Official Implementation of NeurIPS 2024 paper "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering""
A curated list of resources for graph databases and graph computing tools
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
ARAGOG- Advanced RAG Output Grading. Exploring and comparing various Retrieval-Augmented Generation (RAG) techniques on AI research papers dataset. Includes modular code for easy experimentation an…
Simple introduction to LLM Agents
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.