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vishalpatel72 / Agentic_RAG

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Agentic RAG System – A multi-agent Retrieval-Augmented Generation (RAG) system built with CrewAI for business intelligence and document analysis. It integrates ChromaDB for document storage and retrieval, real-time web search, and specialized agents for code execution and visualization, enabling automated trend analysis and insights generation

data-visualization websearch groq llm crewai agentic-rag agentic-ai chroma-db
  • Updated Sep 19, 2025
  • Python

DavidShableski / llm-movie-review

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A fully local RAG pipeline that answers natural language questions about movie reviews. Uses Ollama for embeddings + local LLM, Chroma for the vector store, and LangChain to retrieve, summarize, and generate answers.

python nlp machine-learning natural-language-processing ai embeddings question-answering data-analysis semantic-search rag vector-search vector-database llm langchain local-llm retrieval-augmented-generation ollama offline-ai chroma-db movie-reviews-analysis
  • Updated Sep 11, 2025
  • Python

DavidShableski / restaurant-review

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Local RAG chatbot that answers questions about pizza restaurant reviews using LangChain, Ollama, and Chroma vector database - fully offline with no API dependencies

python nlp machine-learning natural-language-processing ai chatbot embeddings question-answering llama template-project data-retrieval restaurant-reviews rag vector-database langchain local-llm retrieval-augmented-generation ollama offline-ai chroma-db
  • Updated Jun 28, 2025
  • Python

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