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)

Agent Cloud is like having your own GPT builder with a bunch extra goodies. The GUI features 1) RAG pipeline which can natively embed 260+ datasources 2) Create Conversational apps (like GPTs) 3) Create Multi Agent process automation apps (crewai) 4) Tools 5) Teams+user permissions. Get started fast with Docker and our install.sh

Collaborative Multi-Agent RAG with CrewAI

RAG boilerplate with semantic/propositional chunking, hybrid search (BM25 + dense), LLM reranking, query enhancement agents, CrewAI orchestration, Qdrant vector search, Redis/Mongo sessioning, Celery ingestion pipeline, Gradio UI, and an evaluation suite (Hit-Rate, MRR, hybrid configs).

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

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AI travel planner with 7 specialized agents, RAG, and tool-calling. Built with CrewAI & LangChain. Generates personalized itineraries with flights, hotels, activities, and cultural tips. Production-ready Python codebase.

Hệ thống phân tích chứng khoán Việt Nam chuyên sâu sử dụng kiến trúc Multi-Agent RAG với CrewAI và Google Gemini.

this repository provides the agentic rag powered by crewai and qdrant and applied for health care industry.

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Agentic RAG pipeline where autonomous agents collaborate for document-grounded responses.Using CrewAI, the agents operate in a structured, multi-step workflow to ensure accurate and controlled outputs. 🚀

Showcasing my AI journey — GenAI, Agentic AI, LangGraph, LangChain, CrewAI, RAG, ChatBot, FastAPI, Docker, Azure and more.

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AI-powered automation system that transforms natural language requirements into production-ready Kubernetes manifests through three specialized CrewAI agents. System is able to execute manifest creation and editing, knowledge retrieval using RAG with late chunking, web search, and static and runtime validation of the configuration files.

Agentic RAG with Langchain, Qdrant and CrewAI

AI-powered stock trading decision system using CrewAI, RAG, and real-time market data for multi-agent financial analysis and strategy.

🥷The JedAi Council: Build powerful AI agents with CrewAI, Graphiti Graph RAG, LlamaIndex, and modern uv package management 🚀

🛠️ Explore hands-on notebooks to master LLMs, RAG, LangChain, CrewAI, and multi-agent systems for effective AI learning and experimentation.

🤖 Local Agentic RAG with CrewAI + Ollama Multi-agent document Q&A system that runs entirely on your machine 🔍 Local search + web fallback | 🦙 Llama 3.2 | 🗄️ Qdrant storage

This repository documents my 100-day journey to become an AI Agent Engineer. Following an exact curriculum covering Python, APIs, Generative AI, LangChain, CrewAI, AutoGen, RAG, and production deployment. Each day includes code, practice tasks, and projects.

A hands-on workshop template that demonstrates how to orchestrate CrewAI agents for planning, research, writing, and review workflows. The stack combines CrewAI with LangChain tools, a FAISS-backed Retrieval-Augmented Generation (RAG) pipeline, and a Streamlit frontend.

Agentic RAG With CrewAI

This project is an Agentic RAG system leveraging CrewAI for agent orchestration, FAISS for efficient vector search, Sentence Transformers for embeddings, LangChain for document processing, and Ollama for local language model inference, enabling query answering from uploaded documents with a fallback to web searches via Firecrawl.

Building Agentic RAG application using CrewAI, LangChain and Gradio

Complete RAG learning path: Basic to Advanced RAG, Multi-Agent Systems (LangChain, AutoGen, CrewAI, LangGraph, Bedrock), Knowledge Graphs, Production Pipelines, Cloud Deployments

A 7-part practical notebook series exploring LLMs, RAG, LangChain, CrewAI, LlamaIndex & real-time multi-agent systems.

Practical, production-friendly agentic RAG pipeline examples in Python. Featuring LangChain, CrewAI, and best practices for agent orchestration, retrieval, and grading. Community friendly—open to PRs!

Production-ready AI agents & chatbots using Google Gemini, Groq, LangChain, CrewAI & LangGraph | 10+ projects covering RAG, document analysis, code exploration & more

A Multi Agent RAG Application built with LangGraph, CrewAI and Pathway. The App simulates the working of an Indian Legal Court.

🤖 Intelligent multi-agent system using CrewAI, GPT-4, and RAG to automate software documentation quality analysis with 5 specialized AI agents. Built with FastAPI, React, PostgreSQL, and Docker.