GitHub topics: pinecone-db
harehimself/pinecone-lab
Experimenting with Pinecone as vector data continues to take center stage in AI-native systems. The purpose of this project is to explore the core capabilities, benchmark performance across different embedding models, and better understand what is possible with vector search in production environments.
Language: Python - Size: 104 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0
RaohaMejba/EcoHusk-Chatbot-LLM-Project
This is a complete personalize Chatbot with responsive front end.
Language: Jupyter Notebook - Size: 2.96 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0
aimaster-dev/langchain-agent
These #LangChain-powered apps include a Research Assistant that generates reports using web scraping and GPT-4o-mini, and Chat With Video, a #Streamlit app that #transcribes videos and enables content-based Q&A via #embeddings.
Language: Python - Size: 3.12 MB - Last synced at: 15 days ago - Pushed at: 23 days ago - Stars: 6 - Forks: 0
aTh1ef/YouTube-RAG-QA-Bot
Feeling lonely again? Don't worry — talk to YouTube videos this time 💔🩹
Language: Python - Size: 136 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 1 - Forks: 0
saatvik-10/Paper-Whisper
Paper-Whisper is a full-stack web application that allows users to upload PDF documents and interact with them through natural language. Powered by LangChain and OpenAI's GPT models, it transforms static documents into dynamic conversations.
Language: TypeScript - Size: 710 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0
ShlokArora2709/NoteCraft
NoteCraft is a full-stack web app built with Django, Celery, and Next.js that lets users upload academic PDFs, generate AI-powered notes, and retrieve relevant content using RAG. It's optimized for long documents, supports async processing, and runs fully containerized with Docker.
Language: TypeScript - Size: 3.93 MB - Last synced at: 11 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1
gupta-v/movie-recommendation-system
Movie Recommendation System: A content-based recommendation platform built with Python, Pinecone, and Streamlit. The system provides personalized movie suggestions based on genres and metadata, allowing users to explore tailored recommendations. With interactive genre filtering & clean interface, the app enhances movie discovery , hosted on render.
Language: Python - Size: 2.54 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1
RishiMdvrm/RIOT-Games-Esports-Manager-Challenge
A digital assistant for VALORANT esports teams, leveraging LLMs, Amazon Bedrock, and Pinecone to optimize player scouting, team building, and performance analysis through data-driven insights and interactive queries. Built with React.js for the frontend, FastAPI for the backend, and Riot Games API for real-time data integration.
Language: Jupyter Notebook - Size: 144 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
KevKibe/docindex 📦
⚡️Framework for fast persistent storage of multiple document embeddings and metadata into Pinecone for source-traceable, production-level RAG.
Language: Python - Size: 816 KB - Last synced at: 2 days ago - Pushed at: 6 months ago - Stars: 13 - Forks: 3
Shahbaz1234567/SmartRAG-Assistant
SmartRAG-Assistant/GenAI-Assistant leverages advanced LLM models and Nvidia APIs for efficient query handling and document summarization. It integrates LlamaParse for structured data extraction, HuggingFace embeddings for vectorization, and PineconeDB for efficient retrieval, ensuring precise answers to user queries.
Language: Python - Size: 12.1 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
Piyush-sri11/QA-chatbot
A Question-Answering chatbot built using RAG (Retrieval-Augmented Generation) with conversation memory. This project uses LangChain, various LLM options, and vector stores to create an intelligent chatbot that can answer questions about Jessup Cellars winery.
Language: Python - Size: 150 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
malleswarigelli/End-to-end-Medical-Chatbot-Generative-AI
GenAI: Build and deploy end to end medical chatbot
Language: Python - Size: 10.3 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
ItsWachira/Next-Anthropic-AI-Copilot-Product-Knowledge-base
A product knowledge base powered by Pinecone API and Anthropic AI Copilot
Language: TypeScript - Size: 282 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
Bevinaa/Medical-Chatbot-Application
An End-to-End Medical Chatbot powered by generative AI, designed to provide accurate responses to medical queries. Built using Flask, Cohere’s Language Model, and Pinecone for Vector Storage.
Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
presiZHai/fitness-ai-assistant
A user-friendly RAG-powered fitness assistant — a conversational AI that understands your fitness goals, experience level, and equipment availability. It can help you select the perfect exercises, suggest alternative options, and keep you motivated to stay consistent with your routine, making fitness more accessible and personalised.
Language: Jupyter Notebook - Size: 187 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
