LLM OSINT is a proof-of-concept method of using LLMs to gather information from the internet and then perform a task with this information.
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Updated
Jul 9, 2024 - Python
LLM OSINT is a proof-of-concept method of using LLMs to gather information from the internet and then perform a task with this information.
This repository contains a Python application using LangChain to create a multi-agent system for answering queries with Yahoo Finance News and Wikipedia
The Financial Analysis Crew is a Streamlit app that simplifies financial stock analysis. With the power of LLM-driven agents, users can seamlessly gather and analyze stock market data to generate comprehensive financial insights. Perfect for investors, analysts, and anyone interested in making data-driven financial decisions.
An AI-powered investment analysis tool 📈 that leverages simple ReAct AI agent flow framework and financial analysis techniques to provide comprehensive portfolio insights. This intelligent agent helps investors make data-driven decisions by offering deep portfolio risk assessment, stock profiling, and personalized recommendations.
This project implements a travel chatbot powered by the RAG (Retrieve and Generate) chain, providing real-time information retrieval using various tools and the ability to fetch weather reports.
React AI Agent with Long-Term Memory and Tool calling
Effortlessly create functional documentation with AI and integrate directly with Jira. Generate, refine, and export User Stories to your Jira project in just a few clicks! 🚀
Helping Farmers Around the World. Sandworm restores and preserves agricultural ecosystems with AI.
React&RAG Llama Crew is an AI-powered system using LlamaIndex, RAG, and Hugging Face embeddings for code retrieval, analysis, and generation. A multi-agent crew—Llama3.2, CodeLlama, Ollama, and ReActAgent—handles queries, documentation, and structured code generation. 🚀
Agente Conversacional para Exploração de Vídeos do YouTube: Um assistente conversacional que utiliza transcrições de vídeos do YouTube para responder perguntas, fornecer resumos e destacar momentos importantes com timestamps. Ideal para navegar e compreender conteúdos de vídeos de forma eficiente.
Application that generates automatic responses to Amazon Lex messages using generative AI.
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