Custom agents

This RAG Streamlit app lets users chat with PDF documents using Gemini and Google's generative AI. Upload PDFs, process text, and get intelligent answers to your questions.

This Graph RAG Application is a web-based tool that allows users to ask questions about the Mission Impossible film franchise and receive detailed, contextually relevant answers. By combining retrieval-based methods with generative AI, the application ensures that responses are both accurate and engaging.

Code for the presentation.

A Chrome extension that performs real-time Retrieval-Augmented Generation (RAG) on any webpage. It extracts page content, processes it into chunks, and uses a Flask-based backend to perform vector searches and generate context-aware answers using LLM

Platform for RAG with NASA data for managing data on exoplanets for Nasa Space App Challenge 2025.

The AI-Based Pre-Screening Assistant Bot is an AI-powered technical interview assistant that evaluates candidates using adaptive questioning, real-time feedback, and automated report generation. Built with Streamlit and RAGPipeline, it dynamically adjusts question complexity, tracks candidate performance, and emails interview summaries

EarningsAI Demo is a powerful tool that combines audio transcription, document processing, and AI-powered analysis to help users extract insights from earnings calls and financial documents. Built with Fireworks AI and MongoDB, it provides both a command-line interface and a web application for processing and querying financial data.

Advanced RAG architecture built using Transformers and TensorFlow to enabled credibility score checker for social media posts. Recent articles are web-scrapped from google-news-api using scrapy and stored in MongoDB, their titles are embedded in ChromaDB. This is accessed by LLM using Mistral API key.

RAG agent with SGR, smart indexing and reranking, metadata enrichment, parent document extraction

BigQuery Semantic Search Orchestrator

AI assistant that uses RAG architecture and responds instantly with support from university regulations.

The document normalization engine RAG has always needed. Parse any document, understand its structure, build RAG that actually works.

RAG-optimized documentation and data sources for AI-native development on the Flow network. Ground LLMs in accurate Flow and Cadence context.

A small reranker service using mixedbread.ai reranker model

A project to show good CLI practices with a fully fledged RAG system.

RAG (Retrieval-Augmented Generation) and vector search to transform plain questions into SQL queries, enabling effortless, intelligent conversations with your SQL database.

A meta-app, built with Streamlit—supercharged with Snowflake AI—to help Streamlit evolve, one issue at a time.

RAG code sorting search, RAG knowledge organization

A comprehensive collection of RAG (Retrieval Augmented Generation) implementations 📚✨, from foundational concepts to advanced agentic 🤖 and knowledge graph 🌐 RAGs

Baseline replication for paper “EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation.”

Production-ready Snowflake RAG system with type-specific chunking

There is documents searcher project based on Rust and Opensearch technologies.

Implementation of Retrieval Augmented Generation RAG-based LLM from html web pages

Repo for DermAssist: Your AI Assitant for Skin Problems. Powered by a vision model and a reliable RAG system.

A comprehensive evaluation toolkit for assessing Retrieval-Augmented Generation (RAG) outputs using linguistic, semantic, and fairness metrics

A local RAG pipeline for the Hollow Knight wiki - chat with wiki knowledge using Ollama and Supabase.

🚀 A powerful Model Context Protocol (MCP) server powered by Gemini Embedding 2. Transforms any local directory into an ultrafast, visually-aware spatial search engine for AI agents! 🔎✨

Retrieval Pivot Attacks in Hybrid RAG (Vector → Graph)

Raku package for doing LLM Retrieval Augmented Generation (RAG).

RAG - Ops: RAG with Operations. We help you to deploy RAG with changing in datasources.

A system that combines Retrieval-Augmented Generation (RAG), the Claude Sonet 3.5 LLM, and the Pathway framework to analyze financial reports and tables. It ingests data from Google Drive, processes both structured and unstructured formats in real time, and presents insights via a Streamlit-powered interface.

AI based conversational language tutor

LLM Chatbot-RAG by OpenVINO. The chatbot can read a PDF file and answer to the related questions.

demo in blog how ai help understand omniclass

RAG Evaluation using RAGAS

SwiftUI app that uses local RAG over git diffs to help generate commit messages with Ollama.

Llama_RAG_System is a local Retrieval-Augmented Generation (RAG) system that leverages the LLaMA model to provide intelligent answers to user queries by processing uploaded PDFs and fetching relevant web information while ensuring privacy.

Orion is an open-source AI native self-learning platform. Write your content, query it using a agents, access your knowledge base.

A powerful platform designed to simplify the creation and management of Data Contracts, bridging systems for seamless data ingestion

Data Pipeline with validation + AI Assistant

A chatbot that provides insights into the luxury fashion industry. It uses Cohere API and ChromaDB for efficient document retrieval and dynamic conversation.

Retrieval Augmented Generation (RAG)

Fashion authentication agent: LangGraph + GPT-4o Vision + RAG. Paste an eBay link, get a confidence score.

C# SDK for the Tavily API -- AI-powered search and extraction

AI onboarding copilot with RAG, escalation levels, and MLflow LLMOps. FastAPI · Streamlit · LanceDB.

A powerful knowledge management system that forges wisdom from experiences, insights, and best practices. Built with Qdrant vector database for efficient knowledge storage and retrieval.

Turn any LLM into a self-extending knowledge agent powered by a graph-structured memory - complete with PDF-to-graph ingestion, budget-aware optimisation, and dual-engine orchestration.

3D solar system explorer

Correct complete RAG -- built for Highway Workflow Engine

Build, configure, and chat with your own Retrieval-Augmented Generation bots.

Native macOS personal knowledge base with AI — LightRAG knowledge graph, RAG chat, SpriteKit graph viewer, MCP bridge, 6 LLM providers. Privacy-first: your data stays local.

NLP + RAG technique for requirements engineering.

C++ header-only implementation of VaneDB — embeddable vector database for edge AI. See vanedb/vanedb for the Rust crate (PyPI, npm, WASM).

A cross-platform mobile application for theater bookings, featuring an integrated LLM-powered assistant.

Using LLMs to generate custom UI elements. Currently using Mistral-7b.

🎲 RuleLawyer – An AI-powered assistant that helps you look up and understand board game rules using Retrieval-Augmented Generation (RAG). Upload your rulebooks and ask it anything!

Mindsage is an all offline journalling app

Python asynchronous SDK for managing RAGFlow APIs

Curso completo de AI Engineer en español: 6 módulos / 16+ sesiones, TypeScript-first multi-provider, proyecto integrador real. MIT + CC BY 4.0.

This demo demonstrates the integration of a local LLama3 model for handling JSON responses within the Spring AI framework, positioning the model as a 'business logic' executor

IMDb IR System Project - MIR Course - Spring 2024

ACL Findings 2025 | RaPID: retrieval-augmented long text generation with planning and information discovery.

HealthMate is an AI-powered voice agent that helps users get clear, reliable answers to health-related questions in real time. It combines FastAPI, AssemblyAI, and React with Retrieval-Augmented Generation (RAG) and VectorDB Cloud (Native) for fast and relevant responses.

[λ] Eigen - the platform to search your documents without limits

A technical white paper on how LLMs handle memory, why context windows alone are not enough, and what production engineers need to know about memory architectures, security risks, and the road to in-weights personalisation.

A 100% offline, multi-agent AI swarm powered by Ollama. Features 5 specialized agents, hybrid RAG memory, and ChatDev integration. Protected by a strict 4-tier safety execution protocol to safely unleash uncensored Protocol 666 and offensive security Hat Mode algorithms.

Reproducible UFO/UAP archive extraction: OCR, cleaned text, RAG chunks, and knowledge graph for the War.gov release.

RAG的最小实现

Automates discovering and categorizing new Neovim plugins with RAG, creating PRs to yutkat/my-neovim-pluginlist.

Practical sessions for the “Data Science for Economics” at the CEMFI Summer School 2025.

Insightic is a comprehensive digital forensics platform with MongoDB-based case management, real-time map visualization, and AI-powered analysis capabilities.

A self-hosted, privacy-first document ingestion service that captures, processes, extracts metadata, and archives documents to Paperless-ngx.

RAG Model used to further improve GPT models to provide accurate, up to date, information to users

RAG server in ollama and golang

Python client for Eclipse RDF4J — interact with RDF4J repositories, execute SPARQL queries, and manage RDF data seamlessly in Python.

Your terminal forgets everything. engram remembers. Ask it questions about past errors, deployments, or any command you've ever run.

Fault-tolerant multi-agent AI architecture: hierarchical agent coordination, edge-cloud hybrid inference, and adversarial chaos testing for systems that can't afford to fail.

An AI/LLM/RAG/Agent glossary for everyone interested in AI | AI 专业名词百科，用不吓人的语言帮你看懂 AI 世界

RAG Backend for Aleph Alpha LLMs.

基于书生浦语的农业助手

利用向量数据库和GPT搭建的本地知识库问答应用

Rust CLI tool to interact with Ollama with Surreal DB Vector Database

Run. Sip. Repeat. This isn’t just bar hopping—it’s bar running. Let’s make your night legendary.

Stop writing resumes from scratch. EvidenceCV turns your real work into an ATS-optimized resume using RAG. 🥉 3rd Place - eHacks Hackathon 2026.

OutcomeOps: Context Engineering for AI-Assisted Development

Token-efficient, layered context delivery for AI agents. Four memory tiers (Identity, Session, Experience, Archive) — context is always available, just collapsed by default.

Native Rust PKM for markdown notes with local AI. Iced desktop GUI, terminal CLI, and TUI — semantic search and cited RAG chat via Ollama. Fully local.

The first open-source MCP server for jPOS and ISO 8583. Give AI agents deterministic access to payment protocol expertise.

RAG挑战赛的获胜方案已修改为无需GPU即可运行。使用Mineru和Qwen API进行PDF解析和问答。非常适合在任何机器上学习RAG技术。

A state-of-the-art AI prompt compiler

Retreival-Augmented Generation with Mixtral 8x7b powered by MILVUS vector database with semantically chunked text embeddings retreived and reranked using BGE-M3.

SymRAG adaptively routes queries through neuro-symbolic, neural, or hybrid paths based on complexity and system load, ensuring efficient and accurate RAG for diverse QA tasks.

Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.

Code search and session observability for coding agents. Hybrid BM25+semantic, optional cross-encoder rerank, self-bench on your own data. npm install -g @sivru/cli

Find exactly which parts of your LLM output are hallucinated. Claim-level factuality verification with NLI, calibrated confidence, and pipeline diagnostics for RAG systems.

Effortlessly distill 20,000+ page legal and medical documents into concise, using Gemini 2.0 Flash Pro AI-powered summaries with our cutting-edge RAG system and NLP pipeline.

Oryx — Integrate your application with Contextual AI agents seamlessly, from interface to proxy, fully customizable and unbranded.