Recently Added
3,528 documents
Triggering Evals via GitHub Actions
Documents how to trigger eval runs remotely via `gh workflow run` with 14 configurable inputs and example commands for five benchmarks.
QuantTradeAI - LLM Agent Guide
Defines architecture, development workflow, and coding standards for a quantitative trading ML framework with ensemble models and backtesting.
API Reference Documentation
Documents the functions, parameters, and usage of a Qdrant-based RAG pipeline with CLI and utility modules.
Presentation Evaluator — Prototype Plan
Defines an 8-module pipeline that evaluates academic presentations from recorded video, extracting speech, prosody, body language, and language metrics against TED talk benchmarks.
Demo Walkthrough
Walks through querying a pre-populated Qdrant RAG system for a Boeing 737 manual, including health checks, example queries, and evaluation commands.
List evals
Documents the GET /evals endpoint for listing evaluations, including query parameters, response structure, and grader types.
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.
Frequently Asked Questions About *ktrain*
Answers 25 common questions about installing, training, evaluating, and deploying ktrain models, with code examples and workarounds.
CLI Commands
Documents 14 CLI commands for preparing, ingesting, maintaining, and testing a Warhammer 40k lore RAG pipeline.
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.
📋 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.
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.
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.
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.
Evaluation & Datasets
Explains evaluation metrics, benchmarks, and leaderboards for AI models across text, vision, and audio domains.
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.
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.
SynthMoCap Datasets
Documents three synthetic datasets (SynthBody, SynthFace, SynthHand) for non-commercial use, with download scripts and metadata schemas.
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.
app/config.py
Outlines a six-phase learning roadmap to build an enterprise chatbot with OpenAI Responses API, RAG, tools, Chainlit UI, and FastAPI.
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.
MCP Fact-Check Design Document (Enhanced)
Designs an MCP server that validates claims against official MCP specs using embeddings and semantic search.
Setup Guide
Walks through installing Ollama, copying plugin files, registering routers, and configuring the Ask AI plugin for Backstage.