ThinkAny
A RAG‑based AI search engine that aggregates premium content, offers multi‑model conversations and mind‑maps, serving as an information search and processing engine for knowledge workers.
Tool overview
ThinkAny applies retrieval‑augmented generation (RAG) to combine large language models with real‑time web content, delivering answers with citations. Beyond basic search, it provides AI‑assistant chat, summarization, and mind‑map creation, turning search results into actionable insights. Multiple large language models are supported for flexibility, and a public rag‑search API enables integration.
Its strength lies in bridging raw web search with intelligent post‑processing. The developer positions it as a “general search + agent + after‑search service”, and regular updates aim to improve response accuracy and interactivity.
As an indie project, ThinkAny may lack enterprise‑grade stability, data privacy guarantees, and dedicated support. Results depend on underlying models and retrieval quality; for rare or highly specialized queries, hallucination risks remain. Pricing has not been announced, and current availability appears free.
Ideal for early adopters, researchers, content creators, and product managers who need rapid synthesis of information. Not recommended for mission‑critical or compliance‑heavy environments (e.g.