Improving RAG: Strategies

RelatedHighlights

Sounds fancy. Why do we care? GAR involves taking the source documents and having an LLM enrich them, prior to indexing. For example, the LLM might... * Generate titles for documents that are missing them * Standardize author names/formats* Extract dates, URLs, citations and other elements that might be valuable to search as separate fields* Create... See more

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Retrieval Augmented Generation and Reranking in Custom ChatGPT

Rafal Zawadzki chatwith.tools

Beyond the Basics of RAG – Parlance

parlance-labs.com

Retrieval-augmented generation (RAG) is a technique that enhances text generation by retrieving and incorporating external knowledge.

Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

What We Learned From a Year of Building With LLMs

Bryan Bischof oreilly.com

Technology Radar

An opinionated guide to technology trends and tools, including techniques, platforms, and languages, with recommendations for adoption, trials, assessments, and holds, for enhanced software development practices.

thoughtworks.com