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Starred repositories
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework Join our Community: https://discord.com/servers/agora-999382051935506503
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Codebase for Aria - an Open Multimodal Native MoE
Code of Pyramidal Flow Matching for Efficient Video Generative Modeling
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using …
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…
Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling
An open-source RAG-based tool for chatting with your documents.
A collection of notebooks, cookbooks, and recipes showcasing fun and effective ways to use CrewAI's agentic workflow implementations and tools.
A collection of interesting links, articles, research papers and projects related to knowledge graphs, GenAI and LLMs (large language models)
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.
RAG using Ro-LLM, Langchain and ChromaDB
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
Seamlessly integrate LLMs into scikit-learn.
Incremental Knowledge Graphs Constructor Using Large Language Models
Your CrewAI Powered Video Editing Assistant
In this project I designed a knowledge graph focused on Napoleon's history. I built a RAG application using this data and improved the output of LLM using the relationship between nodes
Graph based retrieval + GenAI = Better RAG in production