rag-frameworks

What problem does it solve?

This Skill helps developers choose and understand the best frameworks for building retrieval-augmented generation (RAG) applications, simplifying the process of connecting LLMs to external data.

Core Features & Use Cases

• Framework Comparison: Provides a clear comparison of LangChain, LlamaIndex, and Sentence Transformers based on use cases, learning curve, and flexibility.
• RAG Architecture Patterns: Explains various patterns like Naive RAG, Parent-Child, and Hybrid Search.
• Decision Guide: Offers recommendations based on specific scenarios, from simple document QA to complex agent workflows.
• Use Case: When starting a new project that requires a chatbot to answer questions based on a large set of internal documents, this Skill helps you decide whether LlamaIndex or LangChain is a better fit.

Quick Start

Use the rag-frameworks skill to compare LangChain and LlamaIndex for document QA.