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google-genai

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Lightweight Retrieval‑Augmented Generation (RAG) demo with Streamlit UI. Ingest PDF/TXT docs, chunk & embed with Google GenAI or other providers, store in Pinecone, and query via chat. Optional MongoDB logging. Simple backend + front‑end for fast document search, retrieval, and generative answers.

  • Updated Jan 24, 2026
  • Python

This repository provides a framework to benchmark the performance and efficiency of various Large Language Model (LLM) embedding models. Using an Apache Spark Analysis Report as a sample technical dataset, this project evaluates both local and API-based models on their retrieval accuracy (MRR, Recall@3) and computational latency.

  • Updated Jan 20, 2026
  • Python

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