+
+
+
+
+
+ Reasoning-based retrieval
+
+
+ + + Document retrieval for + + + the reasoning era. + + + +
+ ++ No chunking. No embeddings. No vector DB. Vectorless parses documents into structured maps any LLM can navigate — precision retrieval with citations you can trust. +
+ +
+
+
+
+ Read documentation
+ Read documentation
+
+
+
+
+
+ {/* quickstart — dark inset terminal */}
+
+
+
+
+
+
+
+
+
+
+ quickstart · sdk
+
+
+
+ {"// 1. Install"}{'\n'}
+ npm i @vectorless/sdk{'\n\n'}
+ {"// 2. Ask with citations"}{'\n'}
+ const {'{'} answer, citations {'}'} = await vl.ask(doc, "what changed?")
+
+
+
+
+
+
+
+
+ The shape of an answer
+ + One document, parsed into structure, walked to the node. +
++ We don't guess similarity. We reason through your document's actual hierarchy to find the exact branch where the truth lives. +
+
+
+
+
+ 100%
+ Citation accuracy
+
+
+ ~40ms
+ Retrieval speed
+
+
+
+
+
+
+
+
+ Explore the core concepts The Primitive
+ + Retrieval, rebuilt around reasoning +
+
+ {features.map(({ icon: Icon, title, body }, i) => (
+
+
+
+ ))}
+
+
+
+ {title}
++ {body} +
++ Retrieval stopped being a search problem. It became a{' '} + reasoning problem. ++
+
+ Get started with Vectorless
+
+