All Documents
3,528 documents available
Notes
Collects RAG optimization techniques, a MicroSaaS business plan, and a LangChain development strategy into a single personal reference note.
Quickly build Generative AI applications with Amazon Bedrock
Provides runnable code samples for image generation, text tasks, chatbots, and RAG using Amazon Bedrock foundation models.
RAG问答系统使用文档
Documents a RAG system that builds hierarchical tree indexes from PDFs and Markdown files, then answers questions via LLM reasoning without vector databases.
Knowledge Base & RAG Guide
Configures a dynamic RAG knowledge base that auto-generates search tools from sync locations and metadata extraction rules.
Indexer l'information avec des modèles de langage (RAG)
Explains how vector embeddings and approximate nearest neighbour search enable information retrieval (RAG) without relying on generative text.
Interactive RAG with MongoDB Atlas + Function Calling API
Explains interactive RAG with MongoDB Atlas and OpenAI function calling, enabling dynamic retrieval strategy adjustments.
RAG-LLaMA3 AI Project
Describes a RAG pipeline using LLaMA3 to answer questions about DNALinux bioinformatics tools, with code to build your own.
FlashRAG
Explains FlashRAG's SKR method, retrieval algorithms (DPR, E5, BGE, ANCE), and multi-stage pipeline (recall, coarse ranking, fine ranking, reranking) for RAG systems.
WebRover
Presents an AI web agent with three specialized modes for task automation, research, and academic paper generation.
LLM Rag
Curates a categorized list of papers, models, tools, and projects for retrieval-augmented generation (RAG) research and development.
Agentic RAG In This Project
Documents the agentic RAG pipeline, covering retrieval, entity extraction, tool planning, execution, and response synthesis with trace output.
Book Source Code TODOs
Lists 50+ unstarted tasks across AI, cloud, DevOps, and documentation for a book's companion source code repository.
📚 LEARN.md - Astra AI Secretary App
Onboards contributors to an Android AI secretary app by explaining its architecture, tech stack, setup steps, and contribution areas for GSSoC.
Overview
Introduces a collaborative smart shopping list project that learns purchase intervals and prioritises items due for restocking.
Subgoals
Tracks unfinished features, bugs, and deployment plans for a Russian language learning app built with Svelte and Wiktionary data.
Awesome VuePress V1 
Curates official and community resources, plugins, themes, and projects for VuePress V1.
Lux Faucet - AI Assistant Knowledge Base
Serves as a single source of truth for AI assistants working on a testnet faucet project with Node.js, React, and Solidity.
Frequently Asked Questions
Answers 20 common questions about FloTorch.ai, covering setup, usage, data limits, licensing, and model integration.
绘制对比图片 KITTI
Documents the topic remapping and data flow needed to connect Fast-LIO2 frontend with SC-PGO backend for KITTI evaluation.
PRODUCT REQUIREMENTS DOCUMENT: GIKENDAASOWIN AABAJICHIGANAN MCP SERVER
Defines requirements for an MCP server that guides LLMs through a 6-stage cognitive deliberation process with dynamic technique selection.
ember-validations 2.0 Goals
Outlines four major goals for a v2.0 rewrite of an Ember validation library, focusing on performance, error handling, Ember Data compatibility, and code quality.
faq_goals
Answers common questions about a deck-local AlphaZero-style MCTS agent for XMage and outlines its features, limitations, and development goals.
Autonomous Performance Tuning via the Algorithm Engineering Cycle
Turns an autonomous agent into a performance engineer that iteratively optimizes code via falsifiable hypotheses, benchmarking, and git-backed experiments.
OBS Background Removal – FAQ (Knowledge Base for LLMs)
Answers user questions about installing, using, and troubleshooting the OBS Background Removal plugin, structured for LLM-based support.