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10mudassir007 / Multiple-RAG-Systems

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A comprehensive library for Retrieval-Augmented Generation (RAG), featuring both basic and advanced RAG implementations. Built with LangChain for sophisticated RAG pipelines and LlamaIndex for a lightweight, simple RAG setup. Ideal for developers exploring knowledge retrieval and augmentation with LLMs. 🚀

rag groq langchain retrieval-augmented-generation rag-chain rag-chatbot llama32 basic-rag llama32-1b streamlit-bot rag-chat
  • Updated Jan 31, 2026
  • Jupyter Notebook

satyampurwar / large-language-models

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Unlocking the Power of Generative AI: In-Context Learning, Instruction Fine-Tuning, Reinforcement Learning Fine-Tuning, Retrieval Augmented Generation and LangGraph Workflows for AI Agents.

bert ai-agents model-quantization large-language-models prompt-engineering generative-ai langchain reinforcement-learning-from-human-feedback flan-t5 few-shot-prompting low-rank-adaptation retrieval-augmented-generation reinforcement-learning-from-ai-feedback faiss-vector-database langgraph peft-fine-tuning-llm rag-pipeline rag-chain huggingface-embeddings instruction-fine-tuning
  • Updated Jun 4, 2025
  • Jupyter Notebook

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