🦜🔗 LangChain Learning Repository

This repository contains my complete learning journey with LangChain and its ecosystem — from scratch to advanced. It includes practice scripts, experiments, and small projects covering core modules and integrations.

📚 Topics Covered

• LangChain Core
• LangChain Expression Language (LCEL)
• Retrieval-Augmented Generation (RAG)
• Splitting
• Chunking
• Embedding
• Vectore Stores
• LangSmith – Observability and debugging
• LangServe – Deploying LangChain apps as APIs
• LangGraph – Multi-agent and graph-based workflows

🚀 Tech Stack

• Python 3.10+
• LangChain
• Groq / OpenAI / Other LLM Providers
• Vector Databases (FAISS, Pinecone, ChromaDB, etc.)

🛠 Setup Instructions

1. Clone the repo

   git clone https://github.com/choudaryhussainali/Langchain_Learnings.git
   cd langchain-learning

2. Create a virtual environment

   python -m venv venv
   source venv/bin/activate  # macOS/Linux
   venv\Scripts\activate     # Windows

3. Install dependencies

   pip install -r requirements.txt

4. Set environment variables Create a .env file in the root directory:

   GROQ_API_KEY=your_api_key_here
   OPENAI_API_KEY=your_api_key_here
   

5. Run an example

   python scripts/example.py

📌 Notes

• This repo is purely for learning and experimentation.
• Some examples require API keys for LLM providers like Groq or OpenAI.
• The code is modular so you can reuse components in other projects.

📄 License

This project is proprietary and confidential. All rights reserved.

© 2025 HUSSAIN ALI. This code may not be copied, modified, distributed, or used without explicit permission.

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📬 Contact

For questions or collaboration requests:

• 📧 Email: [email protected]
• 🌐 GitHub: choudaryhussainali

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