instructor-embeddings

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! 🔥✨

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

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

Lyrics clustering

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

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

Towards Terms Definition Extraction in Drone Forensics using Large Language Mode

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

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.

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