NirDiamant

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial. Maintained by NirDiamant on GitHub, where it has earned 28,943 stars from the community.

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems. Maintained by NirDiamant on GitHub, where it has earned 23,630 stars from the community.

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs. Maintained by NirDiamant on GitHub, where it has earned 7,753 stars from the community.

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks. Maintained by NirDiamant on GitHub, where it has earned 1,616 stars from the community.

Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns. Maintained by NirDiamant on GitHub, where it has earned 857 stars from the community.