All Documents

AI Chatbot Maker with TiDB Vector Search - Hackathon Plan

Based on the hackathon requirements and your existing project, I'll outline a detailed plan for building an AI application that allows users to create chatbots from documentation sites or GitHub repositories using TiDB Vector Search.

srthkdev

🚀 Vectro+ Visual Demo Guide

A hands-on demonstration of Vectro+'s embedding optimization capabilities.

wesleyscholl

AI Scientist Lab Notebook — Architecture (V1)

**Frontend/BFF:** Next.js 14 on Vercel (SSR for viewers, ISR for public reports, Server Actions for signed uploads).

airagprompt

derril-tech

CHECKLIST.md

Quick Start Guide

NEXUS Setup Instructions

aiagentgemini

anasanrai

CricOracle

> Build date: Saturday, 14 March 2026

ayan-joshi

CineChoice RAG Implementation Plan

Transform CineChoice into a sophisticated RAG (Retrieval Augmented Generation) movie recommendation system using vector embeddings, semantic search, and AI-powered recommendations.

airageval

saadzafar0

1. System Architecture

Here is the complete system architecture and design document for the NotebookLM-inspired SaaS application.

siudajakub

DinAI - RAG AI Chatbot Project Plan

DinAI is a Retrieval-Augmented Generation (RAG) AI chatbot that provides intelligent responses based on scraped web content stored in a vector database.

aiagentrag

imurodl

DEPLOYMENT.md

Sovereign Order Intelligence - Complete Documentation

> **AI-Powered Supply Chain & Vendor Management**

aiagentllm

MrAliHasan

Partie 2 : Pipeline RAG

Mettre en pratique la conteneurisation et l'orchestration d'une application de Génération Augmentée par Récupération (RAG) à l'aide de Docker. Ce TP vous permettra de comprendre comment déployer une application d'intelligence artificielle moderne en utilisant les meilleures pratiques DevOps.

youssef-elkahlaoui

Technical Book Rack RAG — Implementation Plan

> **Archived 2026-03-17** — Implementation exceeded plan (MCP server added beyond scope)

rasha-hantash

SPEC.md

Infinite-Context Chat Storage Specification

**Date:** November 2025

rocket-connect

WARP.md

This file provides guidance to WARP (warp.dev) when working with code in this repository.

simovilab

PRD.md

LokulMem — Product Requirements Document

**Version:** 0.4 (Final — Approved for Build)

Pouryaak

PRD.md

PRD — NoiseCancel v2: Multi-Platform Feed Intelligence

- Name: NoiseCancel v2

aillmprompt

NomaDamas

TODO — Dev Sentinel

├─────────────────────┐

elbanic

Contextify - Implementasyon Planı

Tüm local AI agent'lar (Claude Code, Cursor, Gemini, Antigravity, vb.) için merkezi bir memory sistemi. Docker üzerinde çalışan Go MCP Server + REST API, PostgreSQL + pgvector DB, Ollama embedding, ve Web UI.

aiagentmcp

atakanatali

SPEC.md

deep-cuts — Media Intelligence Pipeline

Ingests YouTube shows and podcasts, transcribes them, runs LLM analysis to produce structured knowledge (TLDR, keywords, categories, thought threads), stores everything in a searchable database with semantic search, and generates data-driven infographic cards per episode.

aillmopenai

travisbreaks

ARCHITECTURE.md

LO AI Sandbox Application

A Spring Boot application demonstrating Retrieval-Augmented Generation (RAG) using Spring AI, PostgreSQL with pgvector extension, and Model Context Protocol (MCP) integration for travel services.

airageval

Musak