A repository to build LLM and RAG applications
-
Updated
May 20, 2024 - Python
A repository to build LLM and RAG applications
SparkDB is an Aptitude Question Manager powered by Streamlit for managing and practicing aptitude questions. It allows users to add, view, and edit questions, generate practice questions, and explore a tag-based library. Users can input their own Google API key for custom AI integrations.
A Generative AI project, which prioritize the RAG pipeline, adapting the Google's gemini-1.5-flash model, which enables the Q&A with the custom knowledge provided. Entitled with web application view with customized authentication and message retrieval option.
A Chat bot for Graphic Era Deemed University using Streamlit.
DocQA is designed to respond comprehensively to questions posed about the provided document, regardless of the section from which the questions originate.
SparkPrompt is a tool that generates, evaluates, and refines prompts using LangChain and the Gemini API. It provides precise, context-aware prompts and feedback, streamlining the prompt creation process for various domains.
An innovative Python tool that sifts through Gmail for bank notifications, harnesses OpenAI's GPT-3.5-turbo for insightful analysis, and seamlessly syncs with YNAB, revolutionizing financial tracking for hackers and developers.
Creates an LLM-powered report on a business from its website.
Generative AI powered (custom GPT) Full stack CRUD application using FastAPI, NextJS, Axios, SqlModel, Neon Serverless, and Open AI
StoryTaxi webapp under development
Automate metadata extraction for Parquet & ORC datasets (schema, outliers, contextual, skewness, semanto) with this toolkit. Compatible with Google Gemma and Meta Llama frameworks.
The Customer Support Ticket Classification and Response System combines advance AI models with RAG to automate and elevate ticket categorisation and response generation. By leveraging multi-model integration, sentiment analysis, urgency detection, and vector-based retrieval, it delivers precise, context-aware responses and actionable insights.
Transform your images into valuable insights and creative content using Google Gemini
A.I. automated industry news and insight using CrewAi
A Chat bot for Graphic Era Deemed University using Flask Library in python.
Youtube Video 🎥 Transcript to Detailed Notes 📋 Converter using Google Gemini Pro. This web app efficiently works with videos having any language Transcript, then translates to English Transcript and Generates notes 🚀.
Experiment on QnA tabular data using LLMs and SQL
This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.
Add a description, image, and links to the genai-usecase topic page so that developers can more easily learn about it.
To associate your repository with the genai-usecase topic, visit your repo's landing page and select "manage topics."