LinkedIn company profiles finder using LangChain Agents
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Updated
Aug 2, 2024 - JavaScript
LinkedIn company profiles finder using LangChain Agents
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Successfully developed a state-of-the-art AI-driven credit underwriting engine using LangGraph and FastMCP that orchestrates multiple specialized agents to evaluate risk, detect fraud, and generate explainable credit decisions, delivering transparent, auditable, and tailored financial solutions with unmatched efficiency.
This project implements a classic Retrieval-Augmented Generation (RAG) system using HuggingFace models with quantization techniques. The system processes PDF documents, extracts their content, and enables interactive question-answering through a Streamlit web application.
Voice Assistant powered by LangChain and OpenAI Whisper. Features real-time speech recognition, multi-LLM support (OpenAI, Google), and computer vision capabilities via OpenCV. Enables natural voice interactions with advanced AI responses.
Budget Buddy is a finance chatbot built using Chainlit and the LLaMA language model. It analyzes PDF documents, such as bank statements and budget reports, to provide personalized financial advice and insights. The chatbot is integrated with Hugging Face for model management, offering an interactive way to manage personal finances.
AI Research Agent 🔍 secure Academic Research Assistant with AI Integration. A full-stack web application leveraging OpenAI and LangChain to provide authenticated users with AI-powered research capabilities. Features secure JWT authentication, real-time web/Wikipedia integration, Markdown report generation, and Docker deployment.
LLM Agent System with Tool Calling & LangChain Workflows (Groq + Python)
Learn how to create an intelligent book recommendation system using Large Language Models! This project covers data exploration, vector search, sentiment & genre classification, and a Gradio-powered web app. Perfect for diving into real-world NLP and ML workflows.
Code examples to accompany Medium blog post series on building a RAG system
minorAgent —— 轻量、清晰的 Agent 框架。内置丰富工具与多 Agent 协作,强可扩展性,适合 Agent 入门学习与二次开发。期待与社区共建。
Successfully developed a Healthcare AI Clinical Decision Support System, leveraging LangGraph, GPT-4o-mini, and PubMed to deliver real-time patient risk stratification, evidence-based treatment recommendations, and personalized clinical road maps with integrated drug safety validations.
A simple langchain chatbot
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UTubeBuddy is a powerful Chrome extension and backend API service that lets you ask questions about YouTube videos using transcript-based Retrieval-Augmented Generation (RAG). The system extracts video transcripts and intelligently answers your questions, leveraging advanced language models.
Build an application that performs real-time currency conversion using an LLM and external API.
An intelligent car buying assistant powered by LangGraph and OpenAI that helps users make informed purchasing decisions through automated web scraping, intelligent filtering, and comprehensive market analysis.
This repository is a comprehensive learning resource for LangChain and Generative AI, containing detailed notes and practical examples that guide learners from absolute beginner to production-ready agentic AI development. It covers essential topics including LLM fundamentals, prompt engineering, RAG systems, agents, memory management, vector data
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