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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 self-contained Google Colab Notebook that implements RAG using Postgres pgvector, pgai, and LLMs. Supports local-Ollama/OpenAI/Anthropic

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).

*Built upon the integration of text, image, and audio modalities, this Multi-modal RAG task follows a structured, step-by-step pipeline to effectively combine and process diverse data sources.*

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

A CLI RAG app for digging through the JFK files.

A Jupyter Notebook–powered toolkit that uses Retrieval-Augmented Generation (RAG) to help you craft a knockout resume. Feed it your raw career data (LinkedIn exports, old CVs, brag-worthy project notes), and let an AI do the heavy lifting—so you can spend your time practicing interview answers (or napping).

A quick and simple example for build RAG using LangChain related tools

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

Robust Adaptive RAG algorithm for Lawyers

Snowflake-grounded natural-language chat agent over US Census data — guardrail → state resolver → hybrid metadata retrieval → structured plan + AST-validated SQL → self-check pipeline. Built as a 24-hour take-home in Next.js / TypeScript.

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

🍔 Automates a food order from a json food menu using Retrieval-Augmented Generation (RAG) with OpenAI and MistralAI.

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.

Materials for a workshop on Semantic Kernel, Kernel Memory, and Microsoft Extensions AI

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

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.

Think of ducky as your over-the-shoulder mentor. He watches your codebase and notifies you when you implement bad code. Ducky helps developers to understand code without handing them the complete answer.

🎲 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!

Material y ejercicios del curso IMPACT#IA sobre LlamaIndex y Pydantic: desarrollo de agentes, uso de APIs, automatización y parseo de documentos con modelos estructurados.

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.

RAG system for an e-commerce support chatbot.

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.

A modern RAG framework for closed and open source LLMs built as a demo for the startup Brance.

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

OpenAI powered Reddit marketing tool for extracting latest Reddit comments from subreddits, sorted by "Hot", & pinpointing users who exhibit potential interest in your project or product.

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。

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

LLM + RAG to generate answers about the manifestos of the parties for the 2024 Austrian legislative election

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.

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.

Semantic codebase understanding service — maps application structure, authentication patterns, authorization models, and data flows for intelligent security analysis.

local-first persistent memory for Claude Desktop, enabling private hybrid RAG search across past conversations without API calls

an approach to optimizing large language model (LLM) responses by extracting, reranking, and refining their internal chain-of-thought (CoT). By focusing on the most coherent and relevant parts of the CoT, we can minimize contradictory reasoning and potentially reduce token usage—ultimately leading to more reliable and efficient outputs.

RAG system using Hugging Face models, multiple vector stores (Chroma, Pinecone, FAISS), and CRAG, with sentence transformers and benchmarking tools for optimized retrieval and content generation.

A RAG pipeline that searches on the web. Powered by Haystack 2.0.

API service to search vectorized Cursor IDE chat history using LanceDB and Ollama

Search Swagger API Docs with LLM 🤖 (RAG-powered bot)

This repository features a CLIP-inspired contrastive model that aligns audio signals and transcripts in a shared embedding space, enabling bi-directional retrieval (Audio→Text and Text→Audio). It uses a frozen Whisper-large encoder for audio (with a lightweight trainable adapter) and a trainable Nomic-embed-text-v1.5 for text

Multimodal RAG chatbot with voice input for fashion product search 🤖🎙️👟⚡