memvid/memvid
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Resources for Tutorial on "Utilizing Knowledge Graphs in Text-centric Information Retrieval"
$ git clone https://github.com/laura-dietz/tutorial-utilizing-kg.gitMemory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
World's first open-source enterprise world model.
A collection of research on knowledge graphs
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Learn about Machine Learning and Artificial Intelligence
[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624
Data from GitHub ยท snapshot Sep 24, 2026