•1 min read•from Towards Data Science
Context Engineering for RAG : The Four Typed Inputs Behind Every RAG Answer

Enterprise Document Intelligence [Vol.1 #7bis] - Tobi Lütke and Andrej Karpathy named the practice in 2025. For a single document, each brick emits typed pieces that converge on one LLM call. Corpus, conversation, and tool extensions are follow-up work
The post Context Engineering for RAG : The Four Typed Inputs Behind Every RAG Answer appeared first on Towards Data Science.
Want to read more?
Check out the full article on the original site
Tagged with
#generative AI for data analysis
#Excel alternatives for data analysis
#natural language processing for spreadsheets
#enterprise data management
#big data management in spreadsheets
#enterprise-level spreadsheet solutions
#conversational data analysis
#business intelligence tools
#rows.com
#real-time data collaboration
#intelligent data visualization
#data visualization tools
#big data performance
#data analysis tools
#data cleaning solutions