Topic: pineconedb Goto Github
Some thing interesting about pineconedb
Some thing interesting about pineconedb
pineconedb,An AI chatbot implementing RAG technique with Meta-Llama2-7b Large Language Model, along with langchain and pinecone vector databases.
User: 4darsh-dev
Home Page: https://huggingface.co/spaces/4darsh-Dev/medicure
pineconedb,Asher is a cutting-edge platform designed for seamless collaboration and communication around PDF documents. Our SaaS website is meticulously crafted from scratch, ensuring robust performance, security, and user experience.
User: a-zinc
Home Page: https://asher-ecru.vercel.app
pineconedb,This application allows users to upload PDF files, extract text using OCR, and query the extracted text using a search index. The app uses various machine learning models and APIs to provide detailed responses to user queries.
User: aakashsyadav1999
pineconedb,PDFInsights is an AI-powered chat application that allows users to interact with PDF documents. This application enables users to ask questions and get insights from PDF documents using natural language, making it a valuable tool for students, researchers, and professionals
User: abhii-07
Home Page: https://pdf-insight.vercel.app
pineconedb,This is Document Querying Chatbot which can chat with documents on given prompts
User: adidem23
pineconedb,Quill - conversations with any CSV or PDF documents.
User: adityasharma2020
Home Page: https://quill-pdf-chat.vercel.app/
pineconedb,This repository implements the backend services for a powerful sentiment analysis application. It leverages vector database to extract deeper insights from user reviews. Frontend: user-review-classification.vercel.app
User: aishwaryasubash
Home Page: https://backend-absa.vercel.app
pineconedb,The Medical Chatbot, built with Flask, integrates NLP libraries like Langchain and Hugging Face Transformers for text processing and embedding generation. Utilizing Pinecone as a vector database, it efficiently stores and retrieves data, offering users an interactive platform for medical inquiries.
User: azazel0203
pineconedb,Develop an advanced chatbot leveraging cutting-edge technologies capable of file uploads, enabling users to receive tailored responses based on the content of the uploaded files. Integrate various tools and agents to enhance the chatbot's capability for comprehensive and accurate responses.
User: azizbenali
pineconedb,Develop a python application that allows you to extract valuable insights, engage in meaningful conversations, and explore video content in a whole new way.
User: azizbenali
pineconedb,AI chat with uploaded documents. Code-along + mods by Brent L. Original project by Elliott Chong.
User: blivesay
Home Page: https://aichatpdf-tau.vercel.app
pineconedb,EmoCare ( "Emotion" + "Care" ) is a project about attending the patients appointment and give a solution how their emotional behavior is and gives the conclusion using Facial Recognition.
User: danielprinced
pineconedb,🌟 Mindstride is a RAG-based chat assistant designed to support mental health, personal growth, and self-improvement. This project leverages advanced AI technologies to provide a personalized and insightful experience, drawing from the wisdom of over 70 books on mental well-being, personal development, and self-discovery.
User: debankanmitra
pineconedb,Embedding and visualising knowledge
User: ericfzhu
Home Page: https://codex.ericfzhu.com/
pineconedb,Meet Casia, the AI plant assistant 🌱
User: farisology
pineconedb,natural language guided video search engine, indexed on ~30000 scenes from 250 movies
User: guyaross
pineconedb,Digital Twin for job recruiters to chat with.
Organization: htw-wi-ki-ws24
pineconedb,SaaS based NextJS application for uploading and questioning about Pdfs with OpenAI
User: ikramdeveloper
pineconedb,This application will help you to have a conversation with your pdf
User: irshit033
pineconedb,🤖 An AI bot made for the command line that can read and understand any codebase from your Laravel app.
User: joshembling
pineconedb,🔎📚 This document processing system is designed to efficiently analyze user documents and provide accurate responses to user queries related to the content. Powered by advanced algorithms, it offers a seamless experience for users seeking insights or information within their documents.
User: jvmolu
pineconedb,Learning NextJs 14 with app router. Messing with proper server/client component architecture, Next API routes, Next streaming, Next cache beta, retrieval augmented generation with OpenAI embeddings API, PineconeDB to store context/query embeddings, and chatbot with OpenAI prompt.
User: kliao2016
pineconedb,This is a nextjs based application specifically made to utilise RAG( Retrieval Augmented Generation ) paradigm of Generative AI
User: kunal-kumar-chaudhary
Home Page: https://chat-with-pdf-eight.vercel.app
pineconedb,UVA Chatbot - An AI assistant to help students with competitive programming problems from the UVA OJ
User: luiseduardof
Home Page: https://onlinejudge.org/
pineconedb,Workshop LLM and Database Vector at Google DevFest Cerrado 2023, Goiânia, Goiás, Brazil.
User: luizcalaca
pineconedb,A dating (match-making) app for serious daters with embeddings and vector database.
User: madeyexz
pineconedb,advanced retrieval augmented generation for semi-structured PDFs.
User: mcxraider
pineconedb,pinecone.io Library in Elixir
User: mikaak
pineconedb,Welcome to the Medical Chatbot Assistant project! This repository contains a powerful and efficient medical chatbot built using the LLaMA 2 model, Hugging Face embeddings, and Pinecone vector database. The chatbot is designed to assist users with medical inquiries, providing reliable and accurate responses.
User: muhammadadilnaeem
pineconedb,Next.js 14 Custom Chatbot (OpenAI ChatGPT, Vercel AI SDK, Pinecone, Shadcn UI, TypeScript, Tailwind)
User: muskanmi
pineconedb, Ongoing project just started
User: negativenagesh
pineconedb,A repository for setting up and initializing LLM using langcahain and HuggingFace, generating document embeddings, and connecting to Pinecone for vector database operations. Includes an example of using a Retrieval-Augmented Generation (RAG) model.
User: nish-cv
pineconedb, AI-Companion is a cool software that lets you create your own custom AI models of people you admire, like actors or celebrities. It's a tool to make personalized artificial intelligence companions based on your favorite individuals.
User: ponnada96
Home Page: https://ai-companion.dponnada.com/
pineconedb,
User: pradytpk
pineconedb,A package to vectorize pdf files and interact with Pinecone DB
User: ruteru
Home Page: https://pypi.org/project/pdf2vectors/
pineconedb,.NET clients for Pinecone Vector database
Organization: searchpioneer
pineconedb,Kryten is a CLI tool to ask questions and get sourced answers from any .pdf, .doc, .docx, and many more documents.
User: sergiotapia
pineconedb,This is an experiment in learning langchain, pinecone and stuff, don't mind
User: shikhar13012001
Home Page: https://research-papers-qa-langchain-pinecone.vercel.app
pineconedb,NitroGPT Navigator is an advanced chatbot that leverages cutting-edge technologies, including OpenAI's GPT-3.5, LangChain, and Pinecone Vector Database. It's designed to provide accurate and context-aware answers to any questions related to the content on routerprotocol.com.
User: shivankk26
pineconedb,Terraform Provider for managing resources on Pinecone.io
User: thiskevinwang
Home Page: https://registry.terraform.io/providers/thiskevinwang/pinecone/latest
pineconedb,Chatbot built using generative-ai
User: tusharpandey003
pineconedb,The RAG QA Chatbot repository provides a powerful RAG model that uses Hugging Face Transformers and Pinecone DB for efficient and accurate question-answering. It includes all essential components for easy setup and customization.
User: vaniairenea
pineconedb,Created a custom chatbot that will reply to your question based on the data stored in it's memory.Technology used are prisma ORM, mongoDB, pineconeDB to store vectors, openAI Text-embedding-ada-002-v2 to embed the text. I have followed a youtube tutorial to learn this.
User: vikrantsingh22
pineconedb,🚀 Hermes harnesses the power of GPT technology to create interactive conversations with your PDF documents. This innovative open-source tool transforms your PDFs into dynamic chatbots!
User: viplavkhode
Home Page: https://hermespdf.vercel.app
pineconedb,An ai-chat-app to virtually create/train your custom imaginary friend/character and have realtime converstaion.
User: vivek-lahole
Home Page: https://ai-chat-app-sigma.vercel.app/
pineconedb,Learning and Implementing INGESTION, RETRIVAL-AUGMENTED-GENERATION. LLMS | PINECONE | LANGCHAIN | LANGSMITH |
User: zezs
pineconedb,This repository is dedicated to learning LangChain by creating a generative AI application. This web application uses Pinecone as a vector store to answer questions related to LangChain, utilizing sources from the official LangChain documentation.
User: zezs
Home Page: https://huggingface.co/spaces/azenabeel/Langchain_Docs-AI_Assistant
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