🤖 vs-code extension that suggest commit messages by AI & context
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Updated
Jul 6, 2026 - TypeScript
🤖 vs-code extension that suggest commit messages by AI & context
This project implements a Retrieval-Augmented Generation (RAG) chatbot that can answer medical questions based on uploaded PDF documents. It uses Hugging Face models for embedding and language generation, FAISS for vector storage, and React frontend for an interactive chat interface.
A starter repo on how to create your first simple LLM application using LangChain
Retrieval & Reasoning Engine. A modular, RAG-based AI agentic core for automated medical telephony and patient triage.
A collection of LangChain pipelines using Groq API with LLaMA and DeepSeek models – featuring sequential, parallel, conditional, and simple chains.
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.
Click below to checkout the website
NexaAI — An intelligent LangChain-powered chatbot that routes questions by category and delivers structured, contextual AI responses.
🤖 Multi-persona AI chatbot built with Streamlit & LangChain, powered by LLaMA 3.3 70B via Groq. Switch between Professional, Friendly, Humorous, and Expert response styles.
AI cold email generator using LangChain, Groq & ChromaDB - extracts job details, matches your portfolio via RAG, and drafts a tailored email.
AI cold email generator · paste a job URL + upload your resume → get a personalized cold email · LangChain · Llama 3.1 70B · Groq · Streamlit
This project combines the power of vector databases, large language models, and chat history management to create an interactive PDF chatbot
Click below to checkout the website
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.
AI blog-writing agent — chat a topic, get a researched, illustrated post with one-click PDF export. Built with Streamlit + LangGraph.
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.
The Streamlit App for improving Google SEO ranking of Persian Contents with help of Groq Langchain
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