Ragie.ai-RAG

Retrieval and RAG workflow on Volcengine AI stack. Use when users need embedding search, document indexing, top-k retrieval, grounding prompts, or search relevance tuning.

Expert guidance to build, optimize, and debug production-ready Retrieval-Augmented Generation (RAG) systems using a complete methodology from architecture to...

Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRo...

Build, optimize, and debug RAG pipelines with chunking strategies, retrieval tuning, evaluation metrics, and production monitoring.

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LL...

Search and manage knowledge bases using LightRAG API. Supports multiple servers, context-aware writing, and direct information retrieval. Use when the user wants to query a LightRAG-powered knowledge base or use it as context for tasks.