wesichain-rag

What problem does it solve?

This Skill enables the creation of intelligent systems that can answer questions and retrieve information from custom document collections by leveraging Retrieval-Augmented Generation (RAG).

Core Features & Use Cases

• Document Indexing: Process and index various document types for semantic search.
• Contextual Q&A: Generate answers grounded in the provided documents.
• Semantic Search: Find documents semantically similar to a given query.
• Streaming Responses: Receive RAG outputs as a stream for real-time applications.
• Use Case: Build a customer support knowledge base that can instantly answer user queries by searching through product manuals and FAQs.

Quick Start

Use the wesichain-rag skill to query "What is Wesichain?" against the indexed documents.