Generative AI with LangChain Python

This repository is a comprehensive guide and hands-on implementation of Generative AI projects using LangChain with Python. It demonstrates the power of LangChain for building practical applications like chatbots, RAG pipelines, search engines, and SQL assistants.

The focus is to explore, implement, and showcase various LangChain capabilities such as:

• Data ingestion and transformations
• Text embeddings and vector databases
• Retrieval-Augmented Generation (RAG)
• Chatbot development and conversational memory
• SQL query automation
• Search and summarization pipelines

This repository is practical and notebook-driven, with continuous updates to add more real-world examples and modules.

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Project Index

1. LangChain Fundamentals
2. OpenAI-Ollama-RAG Framework
3. LangChain Expression Language
4. Building Chatbots with LangChain
5. Q&A Chatbot Using OpenAI
6. Q&A Chatbot Using Ollama
7. RAG Document Q&A
8. RAG Q&A Conversation
9. Web Search Tool with LLM
10. Text to SQL Chatbot
11. Text Summarization with LangChain

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Contribution

Contributions are welcome! 🚀

• Found a bug? Submit an issue.
• Have an idea for a new LangChain project? Open a pull request.
• Want to collaborate? Reach out and let’s build together.

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