Introduction
Welcome to the AnalogAI Deepthink documentation. Deepthink is a reasoning and learning engine that turns text inputs into a structured memory layer you can query, enrich, and use to power downstream AI workflows.
Large language models are stateless by default: each call starts from scratch unless you provide context. Deepthink focuses on building a persistent, queryable memory layer so your agents and applications can consistently retrieve relevant facts and relationships.
At a high level, you ingest facts or documents, Deepthink builds and enriches a knowledge graph, and you can then ask questions, generate context, or integrate results into your own LLM calls.
Start with the Quickstart, then review Architecture and Database Connections for production-ready setups.