There are 0 repository under faiss-vector-database topic.
Building Essence Towards Personalized Knowledge Model - PKM
Gemma2(9B), Llama3-8B-Finetune-and-RAG, code base for sample, implemented in Kaggle platform
An AI agent that writes SEO-optimised blog posts and outputs a properly formatted markdown document.
Webapp to answer questions about my resume leveraging Langchain, OpenAI, Streamlit
Q&A System using BERT and Faiss Vector Database
Contexi lets you interact with entire codebase context using a local LLM on your system.
Generative AI projetc using LangChain for similarity search. Input 3 articles urls and ask something about the topic
ChatPDF leverages Retrieval Augmented Generation (RAG) to let users chat with their PDF documents using natural language. Simply upload a PDF, and interactively query its content with ease. Perfect for extracting information, summarizing text, and enhancing document accessibility.
It allows users to upload PDFs and ask questions about the content within these documents.
This is a basic RAG chatbot and report generator made using LangChain, Streamlit, FAISS, Cohere's embed-english-v3.0 and Cohere's command-r
An advanced AI-powered solution enhances network diagnostics by leveraging large language models (LLMs). It parses various logs to identify patterns and anomalies, providing actionable insights for diagnosing and resolving network issues efficiently. This simplifies analysis, enabling quicker and more accurate problem detection and resolution.
Advanced RAG pipeline using Re-Ranking after initial retrieval
Faiss with sqlite
In this project I have built an end to end advanced RAG project using open source llm model, Mistral using groq inferencing engine.
This is a RAG project to chat with your uploaded PDF , made using Langchain and Anthropic Claude 3 used as LLM , hosted using Streamlit
GPU constrained! No More. Microsoft released Phi3 specially designed for memory/compute constrained environments. The model support ONXX CPU runtime which offers amazing inference speed even on mobile cpu.
This Python library provides a suite of advanced methods for aggregating multiple embeddings associated with a single document or entity into a single representative embedding.
Turn your PDFs into a conversation with Llama3's RAG-powered chat.
An LLM app leveraging RAG with LangChain and GPT-4 mini to analyze earnings call transcripts, assess company performance, using natural language queries (NLP), FAISS (vector database), and Hugging Face re-ranking models.
My personal repo for implementing LangChain concepts and build something meaningful
This project integrates RAG techniques with GPT-2 for advanced question-answering using BBC news articles. It employs FAISS for efficient document retrieval and SentenceTransformer for embeddings, providing detailed and contextually accurate answers by combining article content with publication dates.
A ChatBot designed to assist WhatsAgenda customers in configuring their calendar. This tool streamlines the setup of scheduling, managing appointments, and customizing service hours, ensuring an efficient and user-friendly experience.
Repo for DermAssist: Your AI Assitant for Skin Problems. Powered by a vision model and a reliable RAG system.
đź“š RAG in Memory (Streamlit - Langchain - FAISS - OpenAI)
A Streamlit-based application that empowers equity research analysts to conduct in-depth research using news articles. It leverages the power of large language models (LLMs) like Google Gemini Pro to analyze vast amounts of news data and generate insightful answers to your queries.
In this project I have built an app that can answer questions from your multiple PDFs using Google's gemini-1.5-flash model.
In this project I have built an end to end langchain project using hugging face open source llm models such as Mistral and also open source embedding models.
This repository contains my team's internship project work at Flexbox Technologies. We have developed a system that fills the patient details form automatically with the patient data extracted from pdf file.
This repository contains my internship project work at Flexbox Technologies. I have developed a system that fills the patient details form automatically with the patient data extracted from pdf file.
This repository contains one of my cool project which I have created during my college's MINeD hack-a-thon.
This application can intelligently answer all your questions regarding your PDFs.
Talk2CSV is a Streamlit web application that allows users to interact with CSV data using natural language and generate SQL queries based on the provided data.
Talk2Websites is a sophisticated AI-powered chatbot designed to provide comprehensive and insightful responses by accessing and interpreting information from the website link given by user.
Talk2YTube is an innovative AI-powered chatbot designed to provide insightful and comprehensive responses by accessing and interpreting information from YouTube videos.
DocChat: Langchain Retrieval System, seamlessly navigate and converse with your documents using Langchain-powered AI, transforming PDF content into actionable insights through natural language interactions.