Drop in product docs, help articles, warranty policies, anything. We chunk it, embed it in Qdrant, and your AI starts answering with citations back to the exact page. No prompt engineering, no retraining.
Drop in what you already have — no re-formatting, no exports to some proprietary shape.
From dragging in a PDF to a live AI answering questions from it — usually under five minutes.
Drag a folder of PDFs, paste a help-center URL, or connect your Notion workspace. Mix and match.
We extract text, OCR images, split into semantic chunks, and embed everything in Qdrant. You don't touch any of this.
Ask questions in the dashboard and see exactly which chunk the AI pulled. Good answer? Ship it. Weird answer? Keep reading.
Didn't love an answer? Thumbs-down, leave a note, upload a better source. The AI gets smarter with every correction.
Every answer shows which file it came from. If nothing matches, the AI says so instead of making things up.
velvet-ingredients.pdf · p.2
barista-handbook-v7.pdf · p.14
When someone asks a question, we search your docs for the most relevant chunks first. Those chunks go to the AI along with the question — so the answer comes from your content, not from training data.
If nothing matches above the confidence threshold, the AI says it doesn't know. No hallucinated specs, no made-up prices, no "I think maybe..."
Every response shows which chunk it used. Click the citation and you jump straight to the source — page, section, line.
Under the hood: Qdrant vector search, hybrid semantic + keyword, p95 under 400ms across the board.
Docs go stale. Your knowledge base shouldn't. Tools to version, update, and audit — built in.
Every upload is versioned. Roll back in one click if a new doc broke something, or keep both versions live for A/B testing.
Add new docs any time without rebuilding the whole thing. Only the changed chunks get re-embedded, so costs stay low and nothing goes offline.
Mis-uploaded the wrong file, or a doc is flat-out wrong? Pull it out, and every cached answer referencing it stops serving.
Thumbs-down an answer, leave a note, and your team gets a ticket to fix the doc or add a missing chunk. The next customer gets a better answer.
Knowledge base is one piece. Here's how it wires into the rest of Lane.Chat.