NirDiamant / RAG_Techniques

A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.

Lifelong-Robot-Learning / LIBERO

Benchmarking Knowledge Transfer in Lifelong Robot Learning

DataTalksClub / llm-zoomcamp

LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼

genieincodebottle / generative-ai

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

shsarv / Machine-Learning-Projects

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.

NirDiamant / Agent_Memory_Techniques

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.

FareedKhan-dev / agentic-knowledge-graph

Knowledge-graph RAG built from structured metadata instead of LLM extraction. 929M edges, zero LLM calls, 83.2% on held-out PubMedQA. Case study: the full PubMed 2026 baseline.

microsoft / KBLaM

Official Implementation of "KBLaM: Knowledge Base augmented Language Model"

giswqs / intro-gispro

Code examples for the book titled Introduction to GIS Programming

zjunlp / EasyEdit

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

onestardao / WFGY

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.

neo4j-labs / llm-graph-builder

Neo4j graph construction from unstructured data using LLMs

aws-samples / amazon-bedrock-samples

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models