Clear, source-backed explanations on RAG, Gemini File Search, agent harnesses, citations, multimodal retrieval, and production answer systems.
Library
Browse practical explanations for retrieval, grounding, citations, agent behavior, and multimodal answer systems.
A complete explanation of what an agent harness is: the control layer around an AI model that manages context, tools, retrieval, memory, permissions, planning, verification, and actions — and why it is the key to production RAG and agents.
A clear answer to what multimodal retrieval-augmented generation is, how it extends classic RAG across text, images, tables, audio, and video, and how multimodal RAG agents make it production-ready.
Gemini File Search refers to the Gemini API File Search tool — a managed RAG system that imports, indexes, retrieves, and cites your files. Learn how it works, what multimodal File Search supports, pricing, limitations, and when to use it.
A technical explanation of ChatGPT as a conversational interface built on large language models.
A product-specific explanation of Pinecone Assistant for document-grounded RAG chat and agent applications.
A product-specific explanation of Pinecone reranking for improving retrieval quality in RAG pipelines.
From answers to product
Use Calypso to organize trusted sources, attach them to hosted agents, and answer across your website, workflows, and product UI with citations.
