backend-rag-implementation
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
414 skills found
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.
Generate professional MATLAB plain text Live Scripts (.m files) with rich text documentation, mathematical equations, and visualization code following specific formatting standards.
Comprehensive AI-generated text detection framework. Features multi-layer analysis of vocabulary, structural patterns, model-specific fingerprints, and technical metadata artifacts to identify AI authorship.
Implement production-grade observability for Istio and Linkerd service meshes, including distributed tracing, metric dashboards, and golden signal monitoring.
Monitor Claude Code usage, token consumption, productivity streaks, and skill effectiveness metrics to optimize your development workflow.
Generate and view Rust documentation for crates within the HASH workspace to analyze APIs, module structures, and component relationships.
Tutorial for identifying and resolving CUDA runtime crashes using FlashInfer's API logging framework.
Export, write, and manage Feishu/Lark documents, spreadsheets, and wikis. Converts cloud content to Markdown for AI agents and automation workflows.
Syntax and construction guide for HashQL J-Expr queries, supporting #literal, #struct, #list, and function call patterns for HashQL files.
A robust verification and QA system for software agents featuring real-time truth scoring, automated code validation, and instant rollback capabilities to maintain high reliability.
Maintain a structured DEBUG_LOG.md for recording bugs, debugging processes, and solutions to ensure project stability and knowledge retention.
Aggregates and analyzes market sentiment for crypto and stock tickers by scanning news and social signals for quick trading vibe checks.