RAG and knowledge base AI workflows
Build RAG, research, document search, and knowledge base workflows with pre-built GraphN AI agent blueprints.
Where these AI workflows fit
RAG workflows connect language models to the documents, databases, and web sources that contain the facts a task needs. These GraphN blueprints cover ingestion, retrieval, synthesis, and source-aware research patterns.
Start with a workflow that matches your data source and output, then customize its retrieval strategy, models, tools, and approval steps. Each blueprint exposes its actual inputs, stages, and included resources.
RAG & knowledge blueprint catalog
Compare each workflow's inputs, stages, agents, functions, MCP tools, and availability before opening it in GraphN.
Company Knowledge Search
Ingest documents into an existing knowledge base, then answer questions with cited RAG evidence
Agent ToolsRAGKBReady to useCompetitive Intelligence Tracker
Monitor competitor docs, pricing pages, and press releases. Get a weekly digest
RAGCompetitive IntelMonitoringRequest accessMeeting Knowledge Base
Upload meeting recordings/transcripts, search decisions and action items by topic
RAGMeetingsKnowledge BaseRequest accessMulti-Source Research Assistant
Pull insights from PDFs, spreadsheets, and web pages into one cohesive briefing
RAGResearchMulti SourceRequest accessFAQ Bot Builder
Upload your docs and get a Q&A bot that answers customer questions with citations
RAGFaqCustomer FacingRequest accessRAG Research Assistant
Search documents and synthesize answers with cited sources
Agent ToolsRAGSemantic SearchReady to use