langhchain

Repositório criado para o Workshop de Agentes de IA

Building ReAct AI agents with sandboxed Python code execution using AWS Bedrock and LangGraph

This project showcases how Retrieval-Augmented Generation (RAG) can be applied to create an efficient and user-friendly system for querying large text documents. With this approach, users can easily extract and interact with relevant information from PDFs in real time.

Authorization library for RAG (Retrieval-Augmented Generation) pipelines using SpiceDB. Designed for LangChain and LangGraph integrations with support for any vector store

A repository-aware AI assistant that uses RAG to understand and answer questions about GitHub codebases.

Financial news research tool using LangChain and Gemini to parse article URLs, build FAISS vector embeddings, and answer queries with citations.

매직아이(SIRDS) 이미지를 해석하는 AI 모델을 구축하고, 학습 데이터량에 따른 지능 지수를 단계별 난이도로 구성하여 인간과 대결하는 게이미피케이션 AI 서비스

LangGraph agent (RAG + SQL tool routing) for e-commerce support with PII masking, prompt-injection detection, JSON-Schema-validated output, and SQLite checkpointing. Offline-first, FastAPI + MCP server included.

Trackify offers helpful insights, including thorough descriptions of the CV's strengths, recommendations for improving skills, the discovery of missing keywords, and an overall percentage match, by examining the content of the job description and the resume.

MCP Protocol implementation using FastMCP, LangChain, and Streamlit. Demonstrates local/remote servers, async patterns, and multi-transport support (STDIO, HTTP, SSE).

A summarisation assistant powered by voice + RAG + Gen AI

This repository demonstrates how to use LangChain’s with_structured_output to generate consistent, machine-readable responses. It includes examples with TypedDict, Pydantic, and JSON Schema, and how they help enforce reliable data formats in LLM applications.

This project allows you to search for academic papers on arXiv, download and process them, and generate responses to specific questions using embeddings and language models. The application leverages several tools including Gradio for the interface, ChromaDB for embedding storage, and LangChain for text processing.

Um agente de consultas musicais que utiliza a API do Spotify e Inteligência Artificial.

LLM complaint insights: Structured summaries, risk tags, and entity extraction on CFPB consumer complaints — built with OpenAI + LangChain, MLflow, Streamlit.

A chat-based agent utilizing the Mistral 7B Large Language Model (LLM), Langchain, Ollama, and Streamlit to answer questions about files through Retrieval-Augmented Generation (RAG).

A documentation assistant