An official lightweight library for the RaBitQ algorithm and its applications in vector search.

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

HAKES: Efficient Data Search with Embedding Vectors at Scale

A book about Ph.D. student and research career planning

[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.

The repository has collected a batch of noteworthy MLSys bloggers (Algorithms/Systems)

Data infrastructure for AI

A Survey on Data Selection for Language Models

The repo for the article: CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search

Cover Tree implementation in C++ for k-Nearest Neighbours and range search

Homomorphic machine learning

AlayaLite – A Fast, Flexible Vector Database for Everyone.

A fast header-only graph-based index for approximate nearest neighbor search (ANNS). https://flatnav.net

Implementation of the paper "Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search" by Severo et al.

code for satellite system graphs

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Companion repo for a NeurIPS 2022 paper "A Multilabel Classification Framework for Approximate Nearest Neighbor Search"

⚡ PDX: A Library for Fast Vector Search and Indexing on CPUs (x86, ARM) — for Python and C++. Index millions of vectors in seconds. Search them in milliseconds.

Awesome papers about unifying LLMs and KGs

A curated list of Knowledge Graph related learning materials, databases, tools and other resources

Large Scale Search Index

A list of papers in the field of approximate nearest neighbor search on high-dimensional vectors.

An enterprise-grade AI retriever designed to streamline AI integration into your applications, ensuring cutting-edge accuracy.

Source code for the paper: "tau-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space", SIGMOD 2022

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

UCB EECS126 : probability theory and random processes.

Code for paper: Towards Similarity Graphs Constructed by Deep Reinforcement Learning

Experimental Code for "Unleashing Graph Partitioning for Large-Scale Nearest Neighbor Search"