🤖 vs-code extension that suggest commit messages by AI & context

A collection of LangChain pipelines using Groq API with LLaMA and DeepSeek models – featuring sequential, parallel, conditional, and simple chains.

A starter repo on how to create your first simple LLM application using LangChain

In this project I've built a streamlit web app that leverages the LLAMA3.1 LLM to create an AI-powered blog content

An intelligent chatbot that allows users to upload text-based Ayurveda PDFs and ask questions based on the content using RAG (Retrieval-Augmented Generation) combining semantic search and LLM-based responses.

A Streamlit web application that lets you upload PDF documents and have a conversational Q&A session with their content. Built using Retrieval-Augmented Generation (RAG) with LangChain, Groq, and ChromaDB.

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AI chatbot powered by Groq (Llama 3.3 70B) + LangChain + Streamlit with personality switching, conversation history, and a modern dark UI.

A Streamlit-based application that extracts key financial metrics — Revenue (actual & expected) and EPS (actual & expected) — from textual financial news or articles using LLM (LLaMA 3) powered by LangChain and GROQ API.

App Builder is an AI-powered coding assistant built with LangGraph that works like a multi-agent developer team. It converts natural language requests into complete, functional projects — file by file. Using Planner, Architect, and Coder agents, it plans, designs, and writes code just like a real developer.

This project combines the power of vector databases, large language models, and chat history management to create an interactive PDF chatbot

AI cold email generator · paste a job URL + upload your resume → get a personalized cold email · LangChain · Llama 3.1 70B · Groq · Streamlit

Local RAG Pipeline – "Where Did I Put That File?". This project is a local Retrieval-Augmented Generation (RAG) pipeline built to help users locate files and folders using natural language.

FastMail is an AI-powered email management tool designed to streamline email responses

Guia prático de integração entre LangChain e Groq API. Contém um tutorial completo (Notebook) e uma aplicação de Chatbot Contábil com memória, streaming e RAG utilizando modelos Llama 3.

The application makes a processes a resume (from a PDF) and a job posting (scraped via WebBaseLoader) to extract structured JSON data using langchain-groq. It employs NLP techniques (nltk, scikit-learn) to preprocess text and calculate an ATS compatibility score (36.28%) via cosine similarity, indicating a moderate resume-job match.

The Streamlit App for improving Google SEO ranking of Persian Contents with help of Groq Langchain

A comprehensive RAG (Retrieval-Augmented Generation) learning project with LangChain, AWS Bedrock, FAISS, and ChromaDB. Includes notebooks, production apps, and complete pipeline implementation for document Q&A systems.

Repository for "8x7B Nexus: Converging AI Reasoning, Prompt Engineering, and Human QA in Test Generation" reseach

AI-powered customer feedback analyzer that uses generative AI to transform customer reviews into actionable business insights. Upload review data, get instant summaries, satisfaction scores, detailed reports, and improvement suggestions—all in an easy-to-deploy Docker container.