VectorInstitute/retrieval-augmented-generation
Reference Implementations for the RAG bootcamp
GitHub repository with 36 stars and 24 forks.
Language: Jupyter Notebook
Topics: rag, retrieval-augmented-generation
Reference Implementations for the RAG bootcamp
GitHub repository with 36 stars and 24 forks.
Language: Jupyter Notebook
Topics: rag, retrieval-augmented-generation
2026-06-05: 36 stars and 24 forks.
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
GitHub repository with 3,649 stars and 667 forks.
Trending score: 1.35; stars gained: +25; forks gained: +3.
Language: Jupyter Notebook
Topics: artificial-intelligence, generative-ai, kubernetes, kustomize, oraclejet, rag
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.
GitHub repository with 482 stars and 67 forks.
Trending score: 0.69; stars gained: +4; forks gained: +0.
Language: Jupyter Notebook
Topics: agent-memory, ai-agents, anthropic, episodic-memory, graphiti, knowledge-graph
This is a repository for the course "From Beginner to LLM Developer" by Towards AI.
GitHub repository with 236 stars and 67 forks.
Trending score: 0.30; stars gained: +1; forks gained: +0.
Language: Jupyter Notebook
Topics: agent, agentic, agentic-ai, agents, ai, langchain
Recipes and resources for building, deploying, and fine-tuning generative AI with Fireworks.
GitHub repository with 153 stars and 48 forks.
Trending score: 0.05; stars gained: +0; forks gained: +1.
Language: Jupyter Notebook
Topics: agentic-systems, ai-workflows, fireworks-ai, function-calling, generative-ai, integrations
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)
GitHub repository with 903 stars and 290 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: artificial-intelligence, chatgpt, langchain, large-language-models, llama, machine-learning
A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.
GitHub repository with 313 stars and 45 forks.
Trending score: 0.04; stars gained: -1; forks gained: +0.
Language: Jupyter Notebook
Topics: ai-project, cloud-computing, data-engineering, data-science, deep-learning, devops
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
GitHub repository with 9,096 stars and 584 forks.
Trending score: 2.37; stars gained: +326; forks gained: +20.
Language: Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,980 stars and 4,249 forks.
Trending score: 1.87; stars gained: +8; forks gained: +6.
Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
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.
GitHub repository with 5,606 stars and 1,014 forks.
Trending score: 1.87; stars gained: +93; forks gained: +13.
Language: Jupyter Notebook
GitHub repository with 2,680 stars and 331 forks.
Trending score: 1.82; stars gained: +48; forks gained: +12.
Language: Jupyter Notebook
Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
GitHub repository with 125 stars and 44 forks.
Trending score: 1.70; stars gained: +32; forks gained: +14.
Language: Jupyter Notebook
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
GitHub repository with 30,756 stars and 3,013 forks.
Trending score: 1.60; stars gained: +31; forks gained: +4.
Language: Jupyter Notebook
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,861 stars and 828 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
GitHub repository with 140,059 stars and 20,110 forks.
Trending score: 5.04; stars gained: +317; forks gained: +58.
Language: Python
Topics: ollama, ollama-webui, llm, webui, self-hosted, llm-ui
Production-ready platform for agentic workflow development.
GitHub repository with 143,920 stars and 22,648 forks.
Trending score: 4.60; stars gained: +322; forks gained: +54.
Language: TypeScript
Topics: agent, agentic-ai, agentic-framework, agentic-workflow, ai, automation
The agent engineering platform.
GitHub repository with 138,521 stars and 22,951 forks.
Trending score: 4.53; stars gained: +171; forks gained: +31.
Language: Python
Topics: ai, anthropic, gemini, langchain, llm, openai
Build resilient agents.
GitHub repository with 33,904 stars and 5,704 forks.
Trending score: 4.16; stars gained: +211; forks gained: +33.
Language: Python
Topics: agents, ai, ai-agents, chatgpt, deepagents, enterprise
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
GitHub repository with 943 stars and 93 forks.
Trending score: 3.67; stars gained: +90; forks gained: +8.
Language: Python
Topics: agent, ai-agents, chromadb, claude, claude-code, cursor