Jupyter Notebook agents

This project automates the process of monitoring market data, developing trading strategies, executing trades, and assessing risks using a team of specialized AI Agents from crewAI. Each agent is equipped with specific roles and goals, and they collaborate to optimize trading decisions and strategies.

RAG Hallucination Detecting By LRP.

This repository demonstrates the use of CrewAI to enhance sales outreach and lead profiling using a combination of advanced AI agents and tools. The project leverages CrewAI agents and LangChain to identify high-value leads and craft personalized outreach campaigns.

Legal Research Assistant streamlines legal research with LangChain, Neo4j, and Google Generative AI. It aids legal professionals in case law research, statute lookup, legal analysis, and document drafting, combining graph-based retrieval with natural language understanding for precise insights.

🚀 Comprehensive LangGraph learning repository with hands-on examples, and practical implementations. Master stateful multi-agent applications, RAG systems, SQL agents, custom tools, and debugging techniques. From basics to advanced workflows with real-world examples.

Retrieval augmented generation for building datasets from scientific literature: Contains the notebooks used for creating datasets

Building AI Agents and Workflows with LangGraph

6 hands-on demos to detect, prevent, and self-correct AI agent hallucinations using Graph-RAG, semantic tool selection, multi-agent validation, neurosymbolic guardrails, and agent steering. Deployed on Amazon Bedrock AgentCore.

FloatChat AI is a conversational AI platform for ARGO Ocean Data Discovery and Visualization, providing accurate and interactive tools to explore oceanographic data. Built with Python, LangChain, Pandas, and machine learning models, it makes complex ocean data accessible and actionable for researchers and enthusiasts.

[ICLR'26] InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search

This Repo shows how to integrate LangChain, Open AI and store embeddings in the MongoDB Atlas and run a similarity search using MongoDB Vector Search.

Knowledge-Sharing Hub using RAG Q&A techniques with LLMs (Llama2 and ChatGPT)

AI developer that generates LangChain Expression Language code

This repository, 300Days_GenerativeAI, is dedicated to 300 days of continuous learning focused on generative AI, studying different books and research papers daily. I'll revisit past learnings, update my understanding, and dive deeper into generative AI's intricacies.

Learn LangChain for Genearative AI with OpenAI API using Python

Fun project to run your own LLM chat bot using llama.cpp

Applying LLMs, augmented with information retrieval (RAG) and function calling, to a variety of tasks in different domains.

Custom document-based QnA, powered by Azure OpenAI, LangChain and Milvus.

This repo contains code related to development of LLM based projects with Langchain and LLamaIndex. It uses RAG, Function calling, agents and tools as of now for interaction with data.

Dependencies Upgrade with multi-agents (CrewAI & Langgraph)

Build a Conversational AI System that can answer questions by retrieving the answers from a document.

Learn the fundamentals of LLMs & Retrieval-Augmented Generation (RAG) through hands-on notebooks, then build your own AI-powered Q&A chat app using Streamlit. Bring your own documents and get started with our video guide!

Question-Answering App Over Your Own Data with LLamaindex and ElasticSearch !

Jupyter notebook samples to quickly get started with OpenAI and LangChain

Taxonomy Completion with Embedding Quantization and an LLM-based Pipeline: A Case Study in Computational Linguistics

Improved RAG retrieval by adding context to the chunks and performing Hybrid Search (Vector Semantic Search + BM25 Keyword Search) and Reranking.

Various LLM resources and experiments

This project is a Full-stack Meal Planning, Ingredient Recognition and Nutrition Tracking web application powered by Agentic RAG and LLMs for the Final Year Project of Pranav Krishnakumar

End-to-End Python implementation of "FedSight AI" multi-agent system for Federal Funds Target Rate prediction (NeurIPS 2025 Workshop). Simulates FOMC deliberations using LLMs with Chain-of-Draft reasoning and In-Context Learning. Integrates structured macro indicators with unstructured narratives (Beige Book, Dot Plots).

LLMlight is a lightweight Python library for running local language models with built-in memory, retrieval, and prompt optimization, requiring minimal dependencies.

Providing useful context by using Retrieval Augmented Generation (RAG) to Gemini

This repository is the official companion for the Azure AI Foundry Agent Service Webinar Series. It provides hands-on code samples, modular use cases, and practical guides for building, deploying, and scaling AI agents on Azure.

An end-to-end AI dirven continuous financial auditing system using multi-agent LLMs for compliance, fraud detection, and risk assessment, leveraging public financial data for real-time, audit-ready insights.

ChatTube: A Retrieval QA System to Youtube Videos

A tutorial on Knowledge Graphs discussing how to model the employee competences within a company

This is a course on how to to program with Large Language Models.

This a Python AI Assistant made by using langgraph and langchain. The assistant is capable of handling programming tasks in python.

🦉 Utilities to improve LLMs capabilities when working with SPARQL endpoints and RDF knowledge graphs, compatible with LangChain

Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon MemoryDB for Redis

Welcome to the LLAMA LangChain Demo repository! This project showcases how to utilize the LangChain framework and Replicate to run a Language Model (LLM). The code in this repository replicates a chat-like interaction using a pre-trained LLM model.

This is a project that uses the LangChain library and OpenAI's ChatGPT API to perform data analysis on a dataset. Disclaimer: This project was made before OpenAI released Code Interpreter on ChatGPT Plus. With similar functions.

A meticulously curated collection of hands-on Jupyter notebooks, designed to illuminate the comprehensive application of MLflow across a spectrum ranging from foundational Machine Learning principles to pioneering Generative AI paradigms.

使用 LangChain 把 PDF 生成音频播客

🦜🔗 LangChain Model Context Protocol (MCP) Client

This is a test version of the agent_toolkit in langchain. Please do not use it in production.

Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon DocumentDB (with MongoDB Compatibility)

SFEIR School Langchain

Notebooks demonstrating vector search & RAG design patterns with Redis Python clients.

此存储库展示了用于检索增强生成（RAG）系统的各种先进技术。RAG 系统将信息检索与生成模型相结合，以提供准确且上下文丰富的响应。

This project aims at giving the best customer service ever using the power of LLM models like GPT.

Hybrid Knowledge Agentic RAG System

Virtual-Assistant LLAMA2/OpenAI with specific knowledge (RAG) in gradio UI.

Scrapes headlines from CNN and FOX, then has ChatGPT do cross-analysis

▶️ Video Fact Finder for YouTube, using CrewAI agents and Perplexity to verify facts.

Sharing Session HacktoberFest 2024 Held at Sonar Analitika

Open source RAG with Llama Index for Japanese LLM in low resource settting

Notebooks of the Agentic Auditing Tutorial of 63rd World Continuous Auditing and Reporting Symposium (WCARS).

Let's build our own scalable chatbots for the Scalable Machine Learning and Deep Learning course at KTH!!

An LLM chatbot augmented by neuro-symbolic rules

The predictions provided by this system are for informational purposes only.

Created a Chatbot using Machine learning models such as SVM,BERT embeddings,Sentiment Analysis and Created GUI in tkinter for above

Simple website featuring a chatbot for hypothetical clothing store.

Attention Mechanism을 적용한 seq2seq 모델과 tensorflow로 제작한 chatbot 생성 튜토리얼입니다.

we generate captions to the images which are given by user(user input) using prompt engineering and Generative AI

Who's that Pokemon (card)? Search over more than 10K Pokemon cards to find out the coolest one yet! ✨

Generative AI playground using GitHub Models, OpenAI API and JavaScript. Try AI models in your browser!

A web app to explore the life, works and world of famous composers through the years

RL vs. 1/n and Mean-Variance in the Portfolio Allocation Problem. A Bachelor's thesis at Utrecht University.

I have improved the demo by using Azure OpenAI’s Embedding model (text-embedding-ada-002), which has a powerful word embedding capability. This model can also vectorize product key phrases and recommend products based on cosine similarity, but with better results. You can find the updated repo here.

ChatGPT Prompt Engineering for Developers (By Deeplearning.ai)

Use OpenAI and LangChain to automatically visualize tabular data.

Domain Agnostic Prompts for Savvy Professionals

Signed, In-band Annotations for Language Model Outputs

Training and evaluating skin type images using (CNN) models via transfer learning, along with personalized recommendations based on classified skin type predictions generated by OpenAI's language model.

This repository will guide you to create automatically generate YouTube Transcription using Using OpenAI's Whisper

다양한 LLM 튜토리얼을 제공합니다.

Agent 早期探索：智能路由、任务拆解和链路工程

This repository is a AI bootcamp for developing hands-on applications using NVIDIA Inference Microservices (NIM)

Cookbook containing recipes for using Couchbase Vector Search using different Embedding & Large Language Models

2D pixel-art RPG with AI-powered NPCs. Learn about Movementlabs through gameplay!

讲解并评估多种RAG算法

From Data Engineer to AI Architect: An 8-week open-source curriculum building a production-grade Data Contract Validator Agent.

A modern LangChain tutorial. v0.2 based

《OpenAI, 구글 Gemini, 업스테이지 Solar API를 활용한 실전 LLM 앱 개발》(2025년 1월 출간) 실습 코드

Pharmaceutical Insight Retrieval System designed to help users gain meaningful insights from research papers and documents in the pharmaceutical domain.

End-to-end QLoRA-based fine-tuning of Llama-2 for a medical-diagnosis/doctor chat-bot on AWS

This repository is continuously updated with new architectures and improvements to stay at the forefront of AI agent design.

Learning to build LLM from scratch, following rasbt/LLMs-from-scratch footsteps.

AI Engineering: Annotated NBs to dive into Self-Attention, In-Context Learning, RAG, Knowledge-Graphs, Fine-Tuning, Model Optimization, and many more.

Generative AI Practices and Mini-Projects: A hands-on repository for Generative AI mini-projects! Explore model building, fine-tuning, and RAG techniques. Includes experiments with open-source models like LLaMA and Gemma, plus deployments using OpenAI and Google Gemini APIs.

Retrieval Augmented Generation (RAG) deeplearning.ai

An AI-based system that helps manage healthcare appointments using different agents for tasks like booking, cancelling, and answering questions.

SpiralSafe is self-maintaining, inherently coherent reposystem | Documentation, code, and physical hardware in Emergent Harmony

Open source RAG with Llama Index for Japanese LLM in low resource settting

Experiments with DSPy — declarative, trainable LLM pipelines. Notebooks and demos for evaluating, composing, and optimizing LLM workflows (code-gen, company valuation, market analysis).

Discord AI bot capable of chatting and moderating, trained on conversation transcripts of Elon Musk

Learn Jev end to end: a free hands-on course. Build 13 AI agent use cases with a fast brain (Jev) and a slow brain (LLM). One OpenRouter key.

This repository contains all the hands-on projects, assignments, notebooks, and learning materials from the Python & AI Bootcamp at iCode Guru. Topics covered include Python ,Data Analysis, visualization, machine learning, deep learning,NLP, Generative AI, Agentic AI and real-world AI applications.

Dystopian/Utopian investments 📈 managed by AI agents 🤖. Envision the future and invest in it at a discount.