OpenTelemetry Instrumentation for AI Observability
Based on the large model development framework of langchain, LangGraph is integrated to create a scalable workflow architecture. RAG。基于langchain的大模型开发框架，集成LangGraph创建一个可扩展的工作流架构，RAG：结合检索向量知识库（Milvus），增强模型的知识检索能力，支持ChatGLM & OpenAI大语言
Demo implementation of a reactive multi agent bot that can answer questions based on relational database information to demonstrate different architecture pattern.
Step-by-step LangChain-based LLM implementations and experiments
A Streamlit-based chatbot application that leverages LangChain framework to interact with multiple LLM providers.
A LangGraph-based research assistant that helps find, analyze, and summarize scientific papers. Built with Mistral LLM (via Ollama) and Flask, this agent can search papers through CORE API, process PDFs, and provide structured research summaries.
A social media analytics module built with Langflow and DataStax to analyze engagement metrics for post types. Leverages GPT to provide data-driven insights for optimizing social media strategies.
AI Agent Architectures is the complex structures that shape how machines perceive, reason, and act in their environments in the pursuit of autonomous intelligence.
Code samples for beginners looking to get started with Agent Development via CrewAI framework
Based on Tolkien's nefarious and greedy spider, who sought to consume all light and knowledge, this is a graph based agent which seeks to consume financial market data.
This is a project which was created with a aim of getting basic understanding of LangChain, LangGraph and Flask frameworks. In this project a Chatbot is created which takes questions in any language but answers in German. It is aimed at empowering individuals who can read but mess up while speaking German in real life.
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