rag-dataset

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Dataset used for RAG Tutorials | You can get started with your RAG tutorials with these dataset

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# 🚀 Complete AI & Machine Learning Course Collection

![KGP Talkie](https://github.com/laxmimerit/Important-Announcement-on-ML/raw/master/kgptalkie_strips.png)

[![AI Development](https://img.shields.io/badge/AI-Development-blue?style=for-the-badge&logo=openai)](https://kgptalkie.com/agent-builder)
[![LangChain](https://img.shields.io/badge/LangChain-Latest-green?style=for-the-badge&logo=chainlink)](https://kgptalkie.com/agentic-rag)
[![Machine Learning](https://img.shields.io/badge/Machine-Learning-orange?style=for-the-badge&logo=tensorflow)](https://kgptalkie.com/machine-learning)
[![Students](https://img.shields.io/badge/Students-100K+-red?style=for-the-badge&logo=graduation-cap)](https://www.udemy.com/user/laxmi-kant-tiwari/)

**Master AI Development • Build Production Applications • Deploy at Scale**

[🦙 LangChain & Ollama](#-langchain--ollama) • [🤖 AI Agents](#-ai-agents--advanced) • [📊 Machine Learning](#-machine-learning-and-data-science) • [🚀 Production](#-production-and-deployment)

</div>

---

## 🦙 LangChain & Ollama

<details>
<summary><strong>🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama</strong></summary>

> **🎯 Build MCP servers & clients with Python, Streamlit, ChromaDB, LangChain, LangGraph agents, and Ollama integrations**

**What You'll Master:**
- ✅ **MCP Architecture:** Client, server, and transport layers
- ✅ **Claude Desktop Integration:** Direct MCP server connections
- ✅ **Real-World Applications:** Data analysis servers for Excel, PowerPoint, SQLite
- ✅ **RAG Implementation:** Vector databases with LangChain integration
- ✅ **Production Deployment:** Testing, security, and cloud deployment

**🎯 Technologies:** Python • Streamlit • ChromaDB • LangChain • LangGraph • Ollama

</div>

</details>

<details>
<summary><strong>📊 Agentic AI - Private Agentic RAG with LangGraph and Ollama</strong></summary>

> **🎯 Step-by-Step Guide to RAG with LangChain, LangGraph, and Ollama | DeepSeek R1, QWEN, LLAMA, FAISS**

**Advanced RAG Techniques:**
- 🧠 **Agentic RAG:** Intelligent, adaptive systems that act like smart assistants
- 🔄 **Corrective RAG:** Self-improving and error-correcting mechanisms
- 📊 **Document Processing:** Doclings integration for seamless document loading
- 🚀 **Production Ready:** Streamlit apps and AWS EC2 deployment

**🎯 Technologies:** LangChain • LangGraph • Ollama • DeepSeek R1 • QWEN • LLAMA • FAISS

</div>

</details>

<details>
<summary><strong>⚡ Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents</strong></summary>

> **🎯 Master Langchain v1, Local LLM Projects, Ollama, DeepSeek, LLAMA 3.2, Complete Integration Guide**

**Complete LangChain Journey:**
- 🛠️ **Setup & Integration:** Professional Ollama and Langchain configuration
- 💬 **Custom Chatbots:** Memory, history, and advanced features with Streamlit
- ⛓️ **Prompt Engineering:** Templates, chains (Sequential, Parallel, Router)
- 🤖 **Agent Development:** Custom tools and step-by-step instruction execution
- 🚀 **AWS Deployment:** Production-ready applications on AWS EC2

**🎯 Technologies:** Langchain v1 • Ollama • DeepSeek • LLAMA 3.2 • Streamlit • AWS EC2

</div>

</details>

<details>
<summary><strong>🔧 Master LangGraph v1 and Ollama - Build Gen AI Agents</strong></summary>

> **🎯 Agentic RAG and Chatbot, AI Agent, DeepSeek, LLAMA 3.2 Agent, FAISS Vector Database**

**Build Production Chatbots:**
- 💬 **Memory-Enabled Chatbots:** Dynamic conversations with persistent memory
- 🗄️ **Database Integration:** Seamless MySQL query execution with LLMs
- 📈 **State Management:** LangGraph workflows with advanced state machines
- 🎯 **Private Data RAG:** Custom embeddings and vector database integration

**🎯 Technologies:** LangGraph v1 • LangChain • Ollama • DeepSeek • LLAMA 3.2 • MySQL • FAISS

</div>

</details>

## 🤖 AI Agents & Advanced

<details>
<summary><strong>🚀 Agentic AI: Deploy LangChain v1 Agent Projects to Production</strong></summary>

> **🎯 Build real AI agents using LangChain and Google Gemini — deploy with FastAPI and AWS EC2**

**What You'll Master:**
- ✅ **Agent Architecture:** ReAct reasoning, tool calling, and structured decision making
- ✅ **Memory Systems:** Short-term and long-term memory using databases and embeddings
- ✅ **Safety & Guardrails:** Human-in-the-loop, middleware controls, and sandboxed code execution
- ✅ **Production APIs:** FastAPI REST endpoints with validation, CORS, and SSE streaming
- ✅ **Full-Stack AI Apps:** Streamlit UI connected to LangChain agents
- ✅ **Cloud Deployment:** Deploy AI agents on AWS EC2 with MCP integration

**🎯 Technologies:** LangChain v1 • Google Gemini • FastAPI • Streamlit • AWS EC2 • MCP • Python

</div>

</details>

<details>
<summary><strong>🤖 Deep Agent - Multi Agent RAG with Gemini and Langchain</strong></summary>

> **🎯 Build real-world AI agents and deep research systems using Google Gemini, LangChain v1, MCP, and modern RAG techniques**

**What You'll Master:**
- ✅ **Agent Foundations:** ReAct patterns, tool calling, memory, and state management
- ✅ **Gemini + LangChain Bootcamp:** Streaming, multimodal inputs, function calling, and context caching
- ✅ **MCP Finance Agent:** Connect Yahoo Finance MCP server as LangChain tools for stock research
- ✅ **Multimodal Deep RAG:** Extract and process financial PDFs, tables, and images with Docling
- ✅ **Qdrant Vector Database:** Hybrid search, sparse+dense retrieval, metadata filtering, and de-duplication
- ✅ **Multi-Agent Systems:** Supervisor agents, specialist routing, and cross-encoder re-ranking

**🎯 Technologies:** Google Gemini • LangChain v1 • LangGraph • MCP • Qdrant • Docling • Python

</div>

</details>

<details>
<summary><strong>🔬 Fine Tuning LLM with Hugging Face Transformers for NLP</strong></summary>

> **🎯 Learn transformer architecture fundamentals and fine-tune LLMs with custom datasets**

**Advanced LLM Customization:**
- 🧠 **Transformer Deep Dive:** Architecture fundamentals and mathematical foundations
- 📊 **Custom Dataset Preparation:** Data preprocessing and formatting techniques
- ⚡ **Fine-tuning Mastery:** Advanced optimization and training strategies
- 🎯 **Model Optimization:** Performance tuning and evaluation methodologies

**🎯 Technologies:** Hugging Face Transformers • PyTorch • Custom Datasets • Advanced NLP

</div>

</details>

<details>
<summary><strong>🎯 Master OpenAI Agent Builder - Deploy Chatbot to Your Website</strong></summary>

> **🎯 Build and deploy AI agents visually using OpenAI Agent Builder, ChatKit, RAG, Chatbot, AI Assistant with MCP, AWS, RDS MySQL**

**What You'll Master:**
- ✅ **Visual AI Development:** Build AI agents without complex coding using OpenAI Agent Builder
- ✅ **Real-World Integration:** Connect AI workflows with MySQL, AWS, and MCP connectors
- ✅ **Production Deployment:** Deploy AI agents with ChatKit and Guardrails for safety
- ✅ **Complete Projects:** Weather Agent, RAG Document Q&A Chatbot, E-Commerce AI Assistant
- ✅ **Database Integration:** AWS RDS MySQL connection and management
- ✅ **Cloud Deployment:** AWS Lambda and API Gateway for production use

**🎯 Technologies:** OpenAI Agent Builder • ChatKit • AWS • RDS MySQL • MCP • Lambda • API Gateway

</div>

</details>

<details>
<summary><strong>🔍 Advanced RAG: Build & Deploy Production GenAI Apps</strong></summary>

> **🎯 Build RAGWire — a production-grade RAG toolkit with LangChain, Qdrant, and LangGraph — from hybrid search to multi-cloud deployment**

**What You'll Master:**
- ✅ **Hybrid RAG Pipeline:** BM25 sparse + dense retrieval with Reciprocal Rank Fusion (RRF)
- ✅ **Multi-LLM Support:** OpenAI GPT, Groq, Google Gemini, Ollama, and HuggingFace embeddings
- ✅ **Agentic RAG:** Self-correcting agents that grade retrieval quality and rewrite queries
- ✅ **Multi-Agent Systems:** Supervisor agents with CrewAI, Microsoft AutoGen, and LangGraph routing
- ✅ **Production UI & API:** Chainlit chat UI with auth + FastAPI OpenAI-compatible endpoints with SSE
- ✅ **Multi-Cloud Deployment:** Render, Railway, AWS ECS Fargate, GCP Cloud Run, and Azure

**🎯 Technologies:** LangChain • Qdrant • LangGraph • CrewAI • AutoGen • Chainlit • FastAPI • OpenAI • Groq • Gemini

</div>

</details>

---

## 📊 Machine Learning and Data Science

<details>
<summary><strong>🧠 Deep Learning for Beginners with Python</strong></summary>

> **🎯 Neural Networks, TensorFlow, ANN, CNN, RNN, LSTM, Transfer Learning and Much More**

**Complete Neural Network Mastery:**
- 🔗 **Artificial Neural Networks (ANN):** Build from mathematical foundations
- 👁️ **Convolutional Neural Networks (CNN):** Image processing and computer vision
- 🔄 **Recurrent Neural Networks (RNN):** Sequential data and time series analysis
- 📝 **LSTM Networks:** Advanced sequence modeling and memory networks
- 🔄 **Transfer Learning:** Leverage pre-trained models for custom applications

**Technologies:** Python • TensorFlow • Keras • Neural Network Architectures • Computer Vision

</div>

</details>

<details>
<summary><strong>🚀 Advanced Machine Learning and Deep Learning Projects</strong></summary>

> **🎯 Build advanced projects using transformer models like BERT, GPT-2, and XLNet**

**Cutting-Edge Project Portfolio:**
- 🤖 **BERT Implementation:** Natural language understanding and classification
- 💭 **GPT-2 Applications:** Text generation and completion systems
- ⚡ **XLNet Techniques:** Bidirectional language modeling
- 🎯 **Multi-modal AI:** Combine text, image, and audio processing
- 🔧 **Custom Architectures:** Design and implement specialized models

**Technologies:** BERT • GPT-2 • XLNet • Advanced Transformers • Multi-modal AI

</div>

</details>

<details>
<summary><strong>📈 Python for Linear Regression in Machine Learning</strong></summary>

> **🎯 Master statistical foundations and practical implementation of regression analysis**

**Statistical Mastery:**
- 📊 **Regression Theory:** Mathematical foundations and statistical principles
- 📈 **Hypothesis Testing:** Statistical validation and significance testing
- 🔢 **Feature Engineering:** Variable selection and transformation techniques
- 🎯 **Model Evaluation:** R-squared, RMSE, and comprehensive diagnostics
- 💼 **Business Applications:** Real-world predictive modeling scenarios

**Technologies:** Python • Scikit-Learn • Statistical Analysis • Pandas • NumPy

</div>

</details>

<details>
<summary><strong>🎯 Machine Learning & Data Science for Beginners in Python</strong></summary>

> **🎯 Complete foundation in ML and DL using Python, Scikit-Learn, Keras, and TensorFlow**

**Complete Foundation:**
- 🐍 **Python for Data Science:** From basics to advanced data manipulation
- 📊 **Data Analysis Mastery:** Pandas, NumPy, and exploratory data analysis
- 🤖 **Machine Learning:** Supervised and unsupervised learning algorithms
- 🧠 **Deep Learning Introduction:** Neural networks with Keras and TensorFlow
- 📈 **Data Visualization:** Professional charts and insights presentation

**Technologies:** Python • Scikit-Learn • Pandas • NumPy • Matplotlib • TensorFlow

</div>

</details>

<details>
<summary><strong>💬 Natural Language Processing in Python for Beginners</strong></summary>

> **🎯 Build NLP models using Python with Spacy, NLTK, and modern NLP techniques**

**NLP Expertise:**
- 🔤 **Text Processing:** Spacy and NLTK for production-ready NLP
- 📊 **Sentiment Analysis:** Emotion detection and opinion mining
- 🏷️ **Named Entity Recognition:** Extract people, places, organizations
- 🔍 **Text Classification:** Document categorization and content analysis
- 🎯 **Feature Engineering:** TF-IDF, word embeddings, and advanced features

**Technologies:** Python • Spacy • NLTK • NLP Pipelines • Text Analytics

</div>

</details>

---

## 🚀 Production and Deployment

<details>
<summary><strong>🌐 Deploy ML Model in Production with FastAPI and Docker</strong></summary>

> **🎯 Professional deployment strategies using FastAPI, Docker, and modern DevOps practices**

**Production Deployment Mastery:**
- 🌐 **FastAPI Development:** High-performance API creation for ML models
- 🐳 **Docker Containerization:** Scalable and portable deployment solutions
- ☁️ **Cloud Deployment:** AWS, GCP, and Azure deployment strategies
- 🔒 **Security & Monitoring:** Authentication, logging, and performance monitoring
- ⚡ **DevOps Integration:** CI/CD pipelines and automated deployment

**Technologies:** FastAPI • Docker • Cloud Platforms • DevOps • Production Security

</div>

</details>

<details>
<summary><strong>📊 Data Visualization in Python Masterclass for Beginners</strong></summary>

> **🎯 Professional visualization and dashboard development using modern Python libraries**

**Visualization Excellence:**
- 📈 **Matplotlib Mastery:** Static plots with professional customizations
- 🎨 **Seaborn Styling:** Statistical visualizations and advanced aesthetics
- ⚡ **Plotly Interactive:** Dynamic charts and real-time dashboards
- 📊 **Dashboard Development:** Streamlit and Dash applications
- 💼 **Business Intelligence:** Professional reporting and data storytelling

**Technologies:** Matplotlib • Seaborn • Plotly • Streamlit • Dash • Business Analytics

</div>

</details>

---

## 🛠️ Technologies & Frameworks Covered

### **🔧 Complete Technology Stack**

[![Python](https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white)](https://kgptalkie.com/machine-learning)
[![LangChain](https://img.shields.io/badge/LangChain-121212?style=for-the-badge&logo=chainlink&logoColor=white)](https://kgptalkie.com/langchain)
[![TensorFlow](https://img.shields.io/badge/TensorFlow-FF6F00?style=for-the-badge&logo=tensorflow&logoColor=white)](https://kgptalkie.com/deep-learning)
[![PyTorch](https://img.shields.io/badge/PyTorch-EE4C2C?style=for-the-badge&logo=pytorch&logoColor=white)](https://kgptalkie.com/fine-tuning-llm)
[![FastAPI](https://img.shields.io/badge/FastAPI-009688?style=for-the-badge&logo=fastapi&logoColor=white)](https://kgptalkie.com/deploy-ml-model)

</div>

### **🎯 Specialized Technologies**

**🤖 AI & LLM**
- OpenAI Agent Builder
- LangChain
- LangGraph
- Ollama
- Hugging Face Transformers
- OpenAI API
- Claude API

</td>
<td width="33%">

**📊 ML & Data Science**
- Scikit-Learn
- TensorFlow & Keras
- PyTorch
- Pandas & NumPy
- Matplotlib & Seaborn
- Plotly

</td>
<td width="33%">

**🚀 Deployment & Production**
- FastAPI
- Streamlit
- Docker
- AWS EC2
- AWS Lambda
- API Gateway
- Vector Databases (FAISS, ChromaDB)
- MySQL Integration

</td>
</tr>
</table>

---

## 🎯 Learning Path Recommendations

### 🤖 **AI/LLM Developer Path**
```
Master OpenAI Agent Builder - Low-Code AI Projects Workflow
↓
Master Langchain and Ollama - Chatbot, RAG and Agents
↓
Master LangGraph and LangChain with Ollama
↓
Agentic RAG with LangChain and LangGraph - Ollama
↓
Advanced RAG: Build & Deploy Production GenAI Apps
↓
Agentic AI: Deploy LangChain v1 Agent Projects to Production
↓
Deep Agent & Multi-Agent Systems with Gemini and LangChain
↓
MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
↓
Fine Tuning LLM with Hugging Face Transformers for NLP
```

### 📊 **Data Scientist Path**  
```
Python for Linear Regression in Machine Learning
↓
Machine Learning & Data Science for Beginners in Python
↓
Natural Language Processing in Python for Beginners
↓
Deep Learning for Beginners with Python
↓
Advanced Machine Learning and Deep Learning Projects
```

### 🚀 **Production Engineer Path**
```
Machine Learning & Data Science for Beginners in Python
↓
Deep Learning for Beginners with Python
↓
Data Visualization in Python Masterclass for Beginners
↓
Deploy ML Model in Production with FastAPI and Docker
```

### 🎓 **Complete Mastery Path**
```
Machine Learning & Data Science for Beginners in Python
↓
Deep Learning for Beginners with Python
↓
Natural Language Processing in Python for Beginners
↓
Master OpenAI Agent Builder - Low-Code AI Projects Workflow
↓
Master Langchain and Ollama - Chatbot, RAG and Agents
↓
Master LangGraph and LangChain with Ollama
↓
Agentic RAG with LangChain and LangGraph - Ollama
↓
Advanced RAG: Build & Deploy Production GenAI Apps
↓
Agentic AI: Deploy LangChain v1 Agent Projects to Production
↓
Deep Agent & Multi-Agent Systems with Gemini and LangChain
↓
MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
↓
Advanced Machine Learning and Deep Learning Projects
↓
Data Visualization in Python Masterclass for Beginners
↓
Deploy ML Model in Production with FastAPI and Docker
↓
Fine Tuning LLM with Hugging Face Transformers for NLP
```

---

## 🏆 What Students Say

### **💬 Student Success Stories**

</div>

> **"The MCP course is absolutely game-changing! I went from zero knowledge to building production-ready AI applications in just a week."**

> **"Best LangChain course on the internet. Practical, up-to-date, and the projects are industry-relevant."**

> **"Finally understood how to deploy ML models properly. The FastAPI + Docker approach saved my company thousands."**

---

## 📊 Course Statistics

| 📈 **Metric** | 🎯 **Achievement** |
|---------------|-------------------|
| **Total Students** | 100,000+ Active Learners |
| **Course Rating** | ⭐⭐⭐⭐⭐ (4.8/5.0) |
| **Courses Available** | 14+ Comprehensive Programs |
| **Hours of Content** | 100+ Hours of Learning |
| **Projects Included** | 50+ Hands-on Projects |
| **Technologies Covered** | 30+ Modern Frameworks |

</div>

---

## 🌐 Connect with Me

[![Website](https://img.shields.io/badge/Website-4285F4?style=for-the-badge&logo=google-chrome&logoColor=white)](https://kgptalkie.com)
[![YouTube](https://img.shields.io/badge/YouTube-FF0000?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/kgptalkie)
[![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://linkedin.com/in/laxmimerit)
[![Twitter](https://img.shields.io/badge/Twitter-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white)](https://twitter.com/laxmimerit)
[![Udemy](https://img.shields.io/badge/Udemy-A435F0?style=for-the-badge&logo=udemy&logoColor=white)](https://www.udemy.com/user/laxmi-kant-tiwari/)
[![GitHub](https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white)](https://github.com/laxmimerit)

**⭐ If this helped you, please give it a star! ⭐**

</div>

rag-dataset

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