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Vibhuarvind / Content-Engine-RAG-for-PDF

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Content Engine is RAG system that analyzes and compares multiple PDF documents, specifically identifying and highlighting their differences. The system will utilize Retrieval Augmented Generation (RAG) techniques to effectively retrieve, assess, and generate insights from the documents.

pytorch bert mistral encoder-decoder faiss rag huggingface-transformers openai-api large-language-models llm generative-ai langchain llamaindex local-llm retrieval-augmented-generation ollama pdfchatbot genai-chatbot small-language-models pdfllm
  • Updated Jul 5, 2024
  • Jupyter Notebook

DhanaVazanth / Retrieval_Augmented_Generation

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An LLM-powered augmented generation suite leveraging LangChain, Ollama, and vector databases to enhance response quality through caching, contextual memory, and retrieval-based methods. This collection of Jupyter notebooks showcases modular techniques for building intelligent, memory-efficient generative systems with real-time semantic awareness.

python chatbot jupyter-notebook artificial-intelligence pickle knowledge-base cag custome colab-notebook rag embedding-vectors vector-database large-language-models langchain llmops ollama pdfchatbot faiss-vector-database rag-chatbot llama3
  • Updated Apr 11, 2025
  • Jupyter Notebook

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