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  # RAG 30 Days Sprint πŸš€
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  This repository contains a 30-day sprint to master Retrieval-Augmented Generation (RAG) systems using Python, LangChain, and modern AI tools.
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  Made by [Hamid Omarov](https://www.linkedin.com/in/hamidomarov)
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  Check out my portfolio: [Notion Page](https://www.notion.so/AI-Content-Factory-Operations-2400a72a724c8050b5c6ddc0e6a0a77d)
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- ---
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- title: PDF RAG (Chroma + Groq)
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- emoji: πŸ“š
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- colorFrom: indigo
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- colorTo: green
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- sdk: gradio
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- sdk_version: "4.44.0"
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- app_file: app.py
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- pinned: false
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- ---
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- # PDF RAG (Chroma + Groq)
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- Upload a PDF and ask questions. Uses ChromaDB for retrieval and Groq LLM for answers.
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+ ---
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+ title: PDF RAG (Chroma + Groq)
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+ emoji: πŸ“š
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+ colorFrom: indigo
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+ colorTo: green
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+ sdk: gradio
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+ sdk_version: "4.44.0"
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+ app_file: app.py
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+ pinned: false
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+ ---
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+ # PDF RAG (Chroma + Groq)
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+ Upload a PDF and ask questions. Uses ChromaDB for retrieval and Groq LLM for answers.
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  # RAG 30 Days Sprint πŸš€
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  This repository contains a 30-day sprint to master Retrieval-Augmented Generation (RAG) systems using Python, LangChain, and modern AI tools.
 
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  Made by [Hamid Omarov](https://www.linkedin.com/in/hamidomarov)
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  Check out my portfolio: [Notion Page](https://www.notion.so/AI-Content-Factory-Operations-2400a72a724c8050b5c6ddc0e6a0a77d)
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