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Build a RAG Application from Scratch — No LangChain, No LlamaIndex

In this tutorial, I’ll show you how to build a complete RAG application from scratch—no frameworks required. You’ll be able to chat with your own documents, whether they’re PDFs, Word files, or text files. We’ll use ChromaDB as our vector database and store all embeddings inside it.

Google Colab Code: https://colab.research.google.com/drive/1uA29Pc33qEfT3bIZ6VuSYds2MMEwvbgH?usp=sharing

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*📗Build AI Agents with LangChain v1: Deep Agents & Tools 2026 (13$)*
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*📘Hands-On RAG Bootcamp: Build Apps with LangGraph & LangChain (13$)*
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https://www.patreon.com/user?u=86750182
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*Don't forget to connect with me*
👉 LinkedIn: https://www.linkedin.com/in/muhammad-moin-7776751a0/
🤖 GitHub: https://github.com/MuhammadMoinFaisal
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*⚒️Freelance Work*
https://www.upwork.com/freelancers/~010c0e127772f371efe
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*For Consultation Call 📞*
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Happy Coding!

Tags:
#rag #ragscratch #generativeai #genai

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