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Showing results for gale Vector
GitHub Repo https://github.com/Nickinventions12/Galeria-de-vectores

Nickinventions12/Galeria-de-vectores

Aqui implementare una pagina en donde se guarden todos los vectores posibles gratuitos solo gratuitos
GitHub Repo https://github.com/Mustapha-Ahricha/CPU-Based-Medical-Chatbot-with-RAG

Mustapha-Ahricha/CPU-Based-Medical-Chatbot-with-RAG

A retrieval-augmented generation (RAG) chatbot that answers medical questions using the Gale Encyclopedia of Medicine as its knowledge base. Built with Llama 2 7B and FAISS vector search, it runs entirely on CPU without requiring GPU. Features a Chainlit interface for interactive conversations and provides source citations for all answers.
GitHub Repo https://github.com/basaravia/galenus_ai

basaravia/galenus_ai

Galenus AI es un asistente inteligente para brindar recomendaciones e insights médicos. Procesa texto, imágenes y audio, realiza búsquedas contextuales y organiza conocimiento en una base vectorial. Usa Python, Docker, PostgreSQL, Redis y OpenSearch/ChromaDB. Fácil de escalar y seguro. 🚀
GitHub Repo https://github.com/NethranjaliSE/rag-base-medical-chatbot-with-LLMs-langchain-pinecone-flask-aws

NethranjaliSE/rag-base-medical-chatbot-with-LLMs-langchain-pinecone-flask-aws

This project is a RAG-based Medical Chatbot built to help medical students quickly find accurate information without reading large medical encyclopedias such as the Gale Encyclopedia of Medicine (4505 pages). The chatbot uses Google Gemini 2.5 Pro, LangChain, and Pinecone Vector Database to retrieve relevant medical content from documents.
GitHub Repo https://github.com/Swoyesh/Medbot

Swoyesh/Medbot

A RAG-based medical chatbot that answers health questions using the Gale Encyclopedia of Medicine. Built with LangChain, Pinecone vector search, HuggingFace embeddings, and OpenAI — delivering concise, context-aware responses from chunked PDF medical data.
GitHub Repo https://github.com/rajgupta19/Medical-chatbot-

rajgupta19/Medical-chatbot-

Built a RAG-based medical AI assistant using Google Gemini, enabling semantic retrieval across 630+ pages of the GALE Encyclopedia of Medicine via an automated PDF-to-vector pipeline (PyPDF, Pinecone). Optimized document chunking and embedding-based retrieval using HuggingFace models .
GitHub Repo https://github.com/pavan347/Medical_ChatBot_Using_GenerativeAI

pavan347/Medical_ChatBot_Using_GenerativeAI

This is a Medical Chat Bot which was trained on the book called The GALE ENCYCLOPEDIA of MEDICINE which contains most of the medical related information like from disease definition to its cure and prevention. My chat Bot uses the pinecone vector DB for storing the vectors or tokens and Gemini API to process the input and response.
GitHub Repo https://github.com/viplavs2004/Medical-Chatbot

viplavs2004/Medical-Chatbot

A RAG-based medical chatbot built with Google's Gemini API, Pinecone vector DB, and Langchain. It uses The Gale Encyclopedia of Medicine as its knowledge source to provide reliable health information.
GitHub Repo https://github.com/atharvaaswale/MediSage-AI

atharvaaswale/MediSage-AI

A medical question-answering system powered by Retrieval-Augmented Generation (RAG). MedSage AI uses vector embeddings and a large language model to answer medical queries based on the Gale Encyclopedia of Medicine.
GitHub Repo https://github.com/Rahul240499/MediChatAI

Rahul240499/MediChatAI

End-to-end medical chatbot using LangChain, Flask, and Pinecone. Ingests Gale’s Medical Encyclopedia, builds a semantic index with embeddings, and serves smart responses via OpenAI or local LLaMA models. Powered by vector search + LLMs.