Python agents

Production-ready Retrieval-Augmented Generation (RAG) system for PDF question-answering. Built with LangChain LCEL, OpenAI GPT-3.5, and ChromaDB vector store. Features smart chunking, persistent storage, and source tracking. CLI included.

Agentic RAG APP with FastAPI, Ollama and Vue.js UI

AI assistant for biophysically detailed neuronal modelling (NeuroML) and data analysis

Built a FastAPI backend for an AI chatbot with RAG capabilities, supporting website, PDF, and text data ingestion. Implemented FAISS-based retrieval with embeddings and integrated a Groq LLM for context-aware responses.

This project is a chatbot that lets you ask the Viam docs questions to help you in your next Robotics project.

The Code Review Assistant is a simple multi-agent system built using the Model Context Protocol (MCP) and LangChain. Its purpose is to provide automated, preliminary feedback on code snippets, including syntax checking, code explanation, and improvement suggestions. It can be integrated with MCP-compatible clients like Cursor IDE or Claude for Desk

Book Classes and Courts at Bay Club San Francisco and Gateway!

A LLM langchain-based tool for automatically creating a cover letter based on a link to a job posting and a PDF file with the CV.

A GenAI Based CSV File and using OpemAI API and Langchain we get an answer about question that we asked related to that csv file

langgraph-mystic is a LangGraph framework based bot that currently specializes in dream interpretation and fortune-telling. While these are its primary features for now, stay tuned to see what other mystical abilities

Agentic RAG Chatbot using Model Context Protocol (MCP) to answer queries from PDFs, Word, and PPT files.

Scan your LLM-powered applications for authorization gaps, leaked credentials, missing rate limits, prompt injection risks, and other security issues — before they reach production.

A fully interactive tool designed to streamline your GitHub repository prompt generation process and facilitate RAG (Retrieval-Augmented Generation) workflows

Silvercord offers sentiment analysis on courses & professors, and lets servers compete in solving LeetCode problems with a seasonal leaderboard!

This repository showcases my learning journey in Applied AI, including hands-on projects, experiments, and practical implementations.

A Retrieval-Augmented Generation (RAG) framework utilizing Large Language Models to answer queries based on blog articles.

⚡ From Zero to Monitoring LLMs in 5 minutes ⚡

PromptlicityAI is a platform for storing and managing custom content, enabling users to retrieve knowledge-based responses via API calls. It simplifies AI integration by allowing structured content storage and retrieval without requiring expertise in Retrieval-Augmented Generation (RAG) or complex frameworks.

Code samples from the article "The Essential Guide to LangChain for Beginners"

rag-common-ai-customer

Langchain document loader for Kreuzberg

Knowledge base construction based on langchain, knowledge graph and RAG

A PM tool utilizing LangChain LLM prompting to analyze project data and return RAG status for project tasks.

Enhance GPT-3.5-Turbo output using Retrieval-Augmented Generation (RAG) with a user-friendly interface. Select between Wikipedia or integrate external documents to experience precise, context-aware responses.

Full stack LLM application created using React and FastAPI for document chatting

RAG pipeline using LangChain, Gemini pro, Faiss

Llama3 in MongoDB: Conversational QA App with Langchain + Ollama + MongoDB + Streamlit.

WorkwiseAI is an AI Agent framework that pinpoints business workflow inefficiencies and streamlines processes using cutting-edge IBM Granite models.

DocuVisQA(Document Visual Question Answering) is a Python project that leverages Google's Generative AI and Langchain for document processing, text splitting, and question answering. It also supports image processing with Streamlit for interactive UI.

This is a web application that uses large langauge models like openai GPT and langchain to summarize long movie scripts to short useful summary in order to get overview of a screenplay in few minutes. It uses Flask and a Machine Learning algorithms.

Intelligent Document Understanding Machine as an API Service

ChatPDF leverages Retrieval Augmented Generation (RAG) to let users chat with their PDF documents using natural language. Simply upload a PDF, and interactively query its content with ease. Perfect for extracting information, summarizing text, and enhancing document accessibility.

FileChat-RAG is a simple Retrieval-Augmented Generation (RAG) system that allows users to ask questions about the contents of various file formats. It extracts text from PDFs, JSON, text files(.txt, .docx, .odt, .md), and code files, then enables interactive conversations using an LLM powered by Ollama.

A simple application for blog content retrieval implemented using RAG as the core technology.

Solution for the Trustii's "Secure RAG System" Data Challenge 2024

AI Agents hands on workshop

AI Todo Agent is an intelligent task management assistant built using LangChain and Anthropic's Claude models. It interprets natural language commands to create, update, or delete to-do items, streamlining your task management process.​

A gpt bot which allows you to chat with multiple pdfs.

🚀 AI-powered financial market intelligence system using Google Gemini, LangChain, RAG & multi-agent orchestration. Real-time stock analysis, sentiment analysis, and ML-based predictions.

Langchain | OpenAI | Train with Custom markdown data

Chatbot from pretrained LLaMA-2 LLM model, fine-tuned with medical research papers using RAG (Retrieval-Augmented Generation)

Vikky is an empathetic therapist specializing in mental health. she prioritize creating a safe space for people

This project demonstrates the power of AI-driven agents using the LangChain framework. It showcases the development of AI agents that can interact with various tools, perform web searches, fetch real-time information, and take notes autonomously based on voice commands or text queries.

A conversational agent that combines static knowledge (RAG over your docs) with real-time web search using an MCP server.

Runtime containment kernel for LLM agents. Enforces budget, step, retry, and circuit-breaker limits before the model call.

SmartEmail Personalizer automates email personalization and ghostwriting using CrewAI and Groq API's Mixtral Model LLM. It reads client data from a CSV, personalizes emails, and generates drafts efficiently. Ideal for enhancing client communication and engagement with zero cost.

Two approaches to generating optimized embeddings in the Retrieval-Augmented Generation (RAG) Pattern

An automated FAQ chatbot for an e-commerce platform. Made using LangChain, Gemini Pro, ChromaDB & Streamlit.

Python library designed to protect sensitive data when interacting with third-party LLMs.

React AI Agent with Long-Term Memory and Tool calling

AI-driven document chat app. Engage in dynamic conversations with PDFs using Langchain, ChromaDB, Sentence Transformers, and Streamlit. Gain insights interactively.

A Python-based tool for context-based search across text documents using OpenAI embeddings and Chroma vector storage. This system enables efficient querying of document collections by generating vector embeddings, storing them persistently, and retrieving relevant results based on textual queries.

RAG-powered HR policy Q&A bot: query Flykite Airlines employee handbook via natural language. LangChain, FAISS/ChromaDB, OpenAI/Claude. Source attribution & hyperparameter tuning.

RAG-Based PDF ChatBot is an AI tool that enables users to interact with PDF content seamlessly. Powered by Ollama LLM and LangChain, it extracts and provides accurate answers from PDFs, enhancing document accessibility and usability. Perfect for efficient information retrieval.

A conversational Retrieval Augmented Generation (RAG) chatbot built with LangChain, Chainlit, and the Claude API for question-answering from documents.

MedChat - ✨RAG based AI Chatbot🤖 for Indian Medicines 🇮🇳

Python package that makes it easy to spin up a custom Retrieval-Augmented Generation (RAG) pipeline.

Llamas with Degree!

Vectify integrates SAP HANA Cloud Vector Engine with Langchain and SAP Generative AI Hub to enhance generative AI use cases like automatic replies and issue deduplication. It demonstrates Retrieval Augmented Generation (RAG) for business context embedding.

Deep researcher using langchain-ollama with deepseek-1.5b model.

End To End Gen AI App Using DeepSeek-R1 With Langchain And Ollama. Released in January 2025, this model is based on DeepSeek-V3 and is focused on advanced reasoning tasks directly competing with OpenAI's o1 model in performance, while maintaining a significantly lower cost structure

A QA Bot based on Retrieval Augmented LLM

This project is a Streamlit-based application that utilizes GooglePalm language model to assist in generating marketing content for different age groups. The application allows users to input a product, select a marketing task (e.g., writing sales copy, creating a tweet, or writing a product description), and choose a target audience age group.

LLM based tool to control UAVs (Parrot Bebop 2)

This project integrates LangChain v0.2.6, HuggingFace Serverless Inference API, and Meta-Llama-3-8B-Instruct. It provides a chat-like web interface to interact with a language model and maintain conversation history using the Runnable interface, the upgraded version of LLMChain. LLMChain has been deprecated since 0.1.17.

This repository contains a chatbot designed to answer questions about the content of PDF documents. It leverages the power of LangChain to extract information from PDFs, OpenAI's API for natural language processing and generation, and Pinecone as a vectorstore.

It is a LLM where we given the links related to the new articles, then it answers the questions based on the content in the link.

Production-ready persistent memory for AI agents. Works with LangChain, CrewAI, AutoGen, and raw Anthropic/OpenAI SDKs — in 3 lines of code.

一个开源的RAG框架，旨在为用户提供了一个强大、灵活且简单的开发环境。

Demo LLM (RAG pipeline) web app running locally using docker-compose. LLM and embedding models are consumed as services from OpenAI.

Langchain based AI RAG chat for question answering from PDF notes

A command-line tool for summarizing changes in Git repositories using AI.

Hands-on training course materials for building LLM Agents from scratch — 2-day enterprise workshop curriculum (Korean / 한국어)

Web-based chatbot using OpenAI's GPT and Gradio

Chatbot using Llama2 model, Langchain and Chainlit to make a LLM review pdf documents.

The Intelligent "ASKDOC" project combines the power of Langchain, Azure, OpenAI models, and Python to deliver an intelligent question-answering system, that scans your PDF documents and answer queries based on its contents. It can be queried using Human Natural Language.

A minimal example for in-memory RAG using ChromaDB and Ollama LLM

AI tool that extracts job listings from company career pages and generates personalized cold emails with relevant portfolio links using Groq API, LangChain, Streamlit, and a vector database.

TARS Robot AI-Agent Data-over-Sound Commands and Bluetooth-Controlled Mecanum Chassis

Information Retrieval chatbot to get answers on your internal data.

noobies.ai is an open-source project designed to empower users in AI-driven content generation. It provides an extensive set of tools for creating diverse content, including blogs, images, videos, and audio. The project aims to simplify AI-based content creation while ensuring accessibility and user-friendliness.

A high-quality Chinese-English translation agent supporting Ollama, OpenAI, and RAG-enhanced domain-specific knowledge.

stud-IA made by Pizza numbers group. EdTech Challenge, AI google developer hackathon. Build with gemma-2b.

Ues langchain to build up document Q&A assistant

Automate HR processes using LLMs

Streamlit-powered document query web app

This repo is for advanced RAG systems, each branch will represent a project based on RAG.

This project is a Retail Store Database Assistant that uses LangChain and Google Palm Language Model to interact with a MySQL database. Users can ask questions about the database, and the assistant will generate MySQL queries to retrieve relevant information.

A Python script that generates a descriptive name for a file based on its content using AI.

This GitHub repository integrates Reflection Llama-3.1 70B, the world's top open-source large language model (LLM), in a Streamlit-based user interface. The LLM is trained using a new technique called Reflection-Tuning, which enables it to detect and correct mistakes in its own reasoning.

Search youtube video by API query string

This repo is aiming to showcase the potential of ReAct for our customers. Think beyond Search and Conversation!

Leverage the power of multi-agent AI to fuel your daily tech, programming, and architecture insights.

LoweCLI - AI Powered Command Line Tool

🌿 AI-powered environmental news aggregation & analysis platform with smart query expansion, sentiment balancing, and real-time insights.

🤖 Automate data analysis and machine learning with a multi-agent system that provides insights and reports efficiently using advanced AI technologies.

NFDI4DS Search Engine ChatBot

An implementation of Langchain Vector DB with ChatGPT