All Documents
3,528 documents available
API Reference Documentation
Documents the functions, parameters, and usage of a Qdrant-based RAG pipeline with CLI and utility modules.
The ustack: Complete Reference for LLMs
Documents a nine-library web stack built on radical minimalism, data-structure DSLs, and an ES5 subset, with under 3300 total lines.
Fission — NEAR Track
Explains how Fission's AI agent meets NEAR track requirements for autonomous governance and data analysis on the NEAR AI Agent Hub.
Logging & Evals
Documents a trigger-based logging system, cost tracking, token analytics, and a separate evals dashboard for reviewing LLM interactions.
Software Carbon Intensity for AI Specification
Extends the SCI methodology to AI systems, defining how to measure and report carbon emissions across AI lifecycles and personas.
Demo Walkthrough
Walks through querying a pre-populated Qdrant RAG system for a Boeing 737 manual, including health checks, example queries, and evaluation commands.
An Image is Worth 16X16 Words: Transformers for Image Recognition at Scale
Introduces the Vision Transformer (ViT) that applies a standard Transformer directly to image patches for classification, outperforming CNNs when pre-trained at scale.
Product Requirements Document: Multi-LLM Teams Chat Bot System
Specifies a Microsoft Teams integration where multiple LLM-powered bots join conversations, respond to messages, and react with emojis via OpenRouter.
Google Cloud
Documents steps to set up a Google Cloud RAG engine and Vertex AI Search with Dialogflow CX, including trial credits and regional agent creation.
MLOps Learning Path (GCP Focused - Solid, Comprehensive & Practical)
Outlines a four-stage MLOps learning path centered on GCP Vertex AI, with resources and hands-on exercises for each stage.
📋 PROMPT POUR CURSOR AGENT - EMBEDDINGS & SYNTHÈSE
Guides a Cursor agent to build an embeddings section and comparative synthesis for a French-language educational search app.
SynthMoCap Datasets
Documents three synthetic datasets (SynthBody, SynthFace, SynthHand) for non-commercial use, with download scripts and metadata schemas.
RFC-001: Continuity
Proposes replacing a multi-runtime memory system with a single Go binary that captures, categorizes, and retrieves session memories for Claude Code.
Using approximate nearest neighbor search in real-world applications
Explains approximate nearest neighbor search concepts, Faiss library internals, and how to integrate ANN with filtering in search and recommendation systems.
Table of Contents - Raspodijeljene i nerelacijske baze podataka
Lists 12 lecture topics for a distributed and non-relational databases course, covering NoSQL, SQL, and cloud databases.
Frequently Asked Questions About *ktrain*
Answers 25 common questions about installing, training, evaluating, and deploying ktrain models, with code examples and workarounds.
app/config.py
Outlines a six-phase learning roadmap to build an enterprise chatbot with OpenAI Responses API, RAG, tools, Chainlit UI, and FastAPI.
Product Requirements Document: Project-Memory (Context Management MCP Tool)
Specifies a Go-based MCP server that externalizes LLM context via summarization, vector embedding, and SQLite storage.
MeReader: Intelligent Offline-First eBook Reader
Describes an offline-first eBook reader that uses a local AI assistant with progress-aware RAG to answer questions without spoilers.
Evaluation & Datasets
Explains evaluation metrics, benchmarks, and leaderboards for AI models across text, vision, and audio domains.
How to set up QMD for Claude
Walks through installing qmd, indexing projects, adding it as an MCP server, and configuring Claude to use it before reading files.
CLI Commands
Documents 14 CLI commands for preparing, ingesting, maintaining, and testing a Warhammer 40k lore RAG pipeline.
Meeting Intelligence CLI - Architecture & Implementation
Documents a hybrid RAG pipeline that extracts grounded sentences before generating answers with a small LLM, reducing hallucination in real-time audio Q&A.
Setup Guide
Walks through installing dependencies, configuring environment variables for AI and vector database providers, and running the dev server for a RAG chatbot project.