instructor-embeddings

There are 10 repositories under instructor-embeddings topic.

  • GURPREETKAURJETHRA/Multi-PDFs_ChatApp_AI-Agent

    Meet MultiPDF 📚 Chat AI App! 🚀 Chat seamlessly with Multiple PDFs using Langchain, Google Gemini Pro & FAISS Vector DB with Seamless Streamlit Deployment. Get instant, accurate responses from Awesome Google Gemini OpenSource language Model. 📚💬 Transform your PDF experience now! 🔥✨

    Language:Python1102366
  • batmanscode/Talk2Book

    Use AI to personify books, so that you can talk to them 🙊

    Language:Jupyter Notebook18102
  • patw/ExternalBrain

    Create an external brain for your facts, ask questions about it later

    Language:Python6201
  • Roud-Song-Clusters

    sian0x0/Roud-Song-Clusters

    Lyrics clustering

    Language:Jupyter Notebook4100
  • Jaid844/AI_Chatbot_hush

    This Search Engine is made with the help of Google flan-t5-xxl LLM , The embedding that I have used is Instructor xl from HKULNLP .The whole thing is free of any charges ,no cost of embedding will be charged (May gets slow depends on internet and hardware capability) , The deployment will be set in local tunnel

    Language:Jupyter Notebook3100
  • dewantrie/langchain-petals-llama-2

    The tutorials include related topics langchain, llama 2, petals, and pinecone

    Language:Jupyter Notebook2100
  • SaurabhTiwari7757/MultiPDF-Bot-Using-LLMs

    The MultiPDF Chat App is a Python application that allows you to chat with multiple PDF documents.

    Language:Python110
  • Shailendra1703/kurma

    Kurma is an open-source Retrieval-Augmented Generation (RAG) that integrates open-source LLMs with Langchain. It allows seamless interaction with multiple PDFs simultaneously for enhanced document analysis and conversational capabilities.

    Language:Python0100
  • swardiantara/drone-definition

    Towards Terms Definition Extraction in Drone Forensics using Large Language Mode

    Language:Jupyter Notebook0100
  • patw/InstructorVec

    Create dense vectors using the instructor-large model, running on CPU in quantized mode (fast!)

    Language:Python201