The latest articles on DEV Community by Kishore Ganapathy (@kishore_ganapathy). https://dev.to/kishore_ganapathy https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3886852%2F65da6ac6-6958-40d5-bf6e-7207e37a08ee.png https://dev.to/kishore_ganapathy en Kishore Ganapathy Sun, 05 Jul 2026 13:48:31 +0000 https://dev.to/kishore_ganapathy/my-first-rag-project-building-insightfetch-with-langchain-38e9 https://dev.to/kishore_ganapathy/my-first-rag-project-building-insightfetch-with-langchain-38e9 <h1> 🚀 My First Dev.to Post + My First RAG Project: InsightFetch </h1> <p>Hey everyone! 👋</p> <p>This is my very first post on Dev.to, and I'm excited to share my first <strong>Retrieval-Augmented Generation (RAG)</strong> project built using <strong>LangChain</strong>.</p> <h2> Introducing InsightFetch </h2> <p><strong>InsightFetch</strong> is a simple web application that lets you learn from any webpage by asking questions in natural language.</p> <p>Just provide one or more URLs, and the app will:</p> <p>*Extract the content from the webpages<br> *Split the text into chunks<br> *Generate embeddings using Hugging Face<br> *Store them in a FAISS vector database<br> *Use LangChain with the Groq API (Llama 3.1 8B Instant) to answer your questions based on the provided content</p> <h3> Tech Stack </h3> <ul> <li>Python</li> <li>Streamlit</li> <li>LangChain</li> <li>Groq (Llama 3.1 8B Instant)</li> <li>Hugging Face Embeddings</li> <li>FAISS</li> <li>Unstructured URL Loader</li> </ul> <h2> Try it out </h2> <p><strong>InsightFetch:</strong> <a href="https://insightfetch.streamlit.app/" rel="noopener noreferrer">https://insightfetch.streamlit.app/</a></p> <p>I'd love to hear what you think!</p> <p>This project taught me a lot about how RAG pipelines work—from document loading and chunking to embeddings, vector search, and retrieval-based question answering.</p> <p>Since I'm still learning, I'm sure there are many things I can improve. If you have any suggestions, best practices, or ideas for new features, I'd really appreciate your feedback. Every suggestion will help me learn and build better projects.</p> <p>Thank you for taking the time to read my first post. I hope to share more of my learning journey and future projects here!</p> <p>Happy coding!</p> ai rag langchain programming