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.
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539 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.
Analyze YouTube videos with automated transcript extraction, AI-powered summarization, Korean translation, and interactive multi-level comprehension quizzes.
Automates the release process by creating a pull request from main to production with automated semantic versioning calculations.
Create and run unit tests for AnySoftKeyboard following project architecture guidelines (Robolectric, naming, location).
Connect your AI agent to the Hugging Face Hub via MCP. Search models, datasets, and papers, manage repos, run cloud compute jobs, and invoke Gradio Spaces as functional AI tools.
Comprehensive Google Docs and Drive management tool. Supports document creation via Markdown, text formatting, structure analysis, and full file operations including upload, download, and sharing.
Manage Navigator task documentation: create implementation plans, archive completed features, and maintain the task index for Claude Code workflows.
Generate a production-ready Go API service with boilerplate for observability, local development, and clean architecture.
Generate hierarchical, token-efficient AGENTS.md files for AI coding agents to provide repository-wide context and project-specific guidelines.
Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.
Orchestrate complex workflows by coordinating multiple specialized AI agents for multi-perspective code analysis, feature implementation, and system-wide reviews.
Generates GitHub-compatible Mermaid diagrams with tested color palettes, local SVG/PNG preview, and gist-based rendering support.