langchain

OpenAI compatible API for TensorRT LLM triton backend

Python SDK for healthcare AI — typed, validated FHIR tools for agents, real-time EHR connectivity, production deployment ✨ 🏥

This repository contains resources and materials for courses and presentations related to AI Agents and Agentic Systems for Cybersecurity Operations by Omar Santos.

A simple and declarative way to control LLMs

📁 This repository hosts a growing collection of AI blueprint projects that run end-to-end using Jupyter notebooks, MLflow deployments, and Streamlit web apps.🛠️ All projects are built using HP AI Studio with ❤️ If you find this useful, please don’t forget to star the repository ⭐ and support our work 🚀

FinSight - Financial Insights at Your Fingertip: FinSight is a cutting-edge AI assistant tailored for portfolio managers, investors, and finance enthusiasts. It streamlines the process of gaining crucial insights and summaries about a company in a user-friendly manner.

Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.

尚硅谷 AI 课程笔记

Unified Agentic AI and Business Intelligence Platform

PDF解析（文字，章节，表格，图片，参考），基于大模型(ChatGLM2-6B, RWKV)+langchain+streamlit的PDF问答，摘要，信息抽取

Open Source AI Tracing Framework built on Opentelemetry for AI Applications and Frameworks

This is the official companion repository for the book The Complete LangGraph Blueprint: Build 50+ AI Agents for Business Success. The repository provides source code, practical examples, and resources to help you build dynamic AI agents using LangGraph, a cutting-edge graph-based framework for artificial intelligence workflows.

A ReAct-Based Highly Robust Autonomous Agent (Harness) Framework.

In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.

A unified interface for various AI model providers

Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚

Open-source protocol suite standardizing LLM, Vector, Graph, and Embedding infrastructure across LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP. 3,330+ conformance tests. One protocol. Any framework. Any provider.

Implementation of an AI Instructor using LLMs and Langchain

ChatGPT for lecture slides

Developed an AI application using LLM to analyze user resumes and provided the summarization, strengths, weaknesses, suggestions, suitable job titles, and also scraping job details from LinkedIn using Selenium. This application reduces time by 30% and helps candidates tailor their resumes effectively.