An open-source platform for retrieval-augmented generation (RAG) that simplifies multi-format ingestion, partitioning, and citation-aware retrieval.
RAG
A self-contained, privacy-focused retrieval-augmented generation (RAG) system that keeps all data local.
A plug-and-play memory layer that adds persistent, intelligent memory and recall to large language models.
An open-source SQL-native memory engine that provides persistent, queryable context for Large Language Models.
A six-week, hands-on course by Jam With AI that teaches building a production-ready Retrieval-Augmented Generation system.
LocalRecall provides a local memory layer and knowledge base management API for agents and RAG scenarios.
Microsoft’s open-source Call Center AI demonstrates integrating Azure Communication, Cognitive Services and OpenAI for phone-based customer support.
PageIndex (by Vectify AI) is an open-source reasoning-based document index designed for high-accuracy retrieval over long documents.
Sample code and notebooks demonstrating how to build and deploy generative AI workflows on Vertex AI and Gemini.
OpenMemory — Explainable Long-term Memory Engine
OpenMemory is a self-hosted, sectorized semantic memory engine that delivers high-recall, cost-efficient, and explainable long-term memory for LLM applications.