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LangChain's enrichment template searches and reads the web, extracts facts into a supplied schema, and checks completeness, with configurable models and tools in LangGraph Studio.
Open Deep Research provides a public LangGraph implementation with separate research, summarization, compression, and report roles, configurable search providers, MCP support, and an evaluation workflow.
A LangChain sample demonstrates parallel trip-input preparation, a join barrier, weather research, a human interrupt for preferences, and itinerary assembly using the same graph locally and when deployed.
An agent filters an IMAP mailbox for the chosen industry topic, enriches relevant items with Tavily research, and produces an HTML email digest.
This self-hosted template receives an Apify job dataset, filters relevant roles with AI, researches company decision-makers through Tavily, and updates Google Sheets.