This is how Practicl works, in four stages: ingest, understand, answer, configure. Semantic ingestion reads every page of your datasheets and manuals, spec extraction keeps each value with its condition, and every answer cites the exact page. No rewriting your documentation, no second knowledge base to maintain.
Datasheets, manuals, application notes, firmware release notes — the exact files on your downloads page today. An LLM reads the whole document, then chunks it by meaning: spec tables, tolerance columns, derating curves, footnotes and revision histories, all kept intact.
Not a fixed-size text splitter. A 41-table datasheet stays 41 tables — tables, procedures and safety warnings are never split, and each cell keeps its row header, column unit, and test condition.
A spec without its test condition is a different — and wrong — spec. Generic RAG for datasheets flattens tables into prose and loses exactly this. Practicl resolves cross-references and preserves the relationships that make a spec valid, keeping exact values untouched: units, tolerances, scientific notation, Greek symbols. It never rounds.
Every answer is grounded in the source and links to the exact page — the citation chip opens the PDF where the fact lives. A validation pass checks the answer against the cited text before it ships.
If the documents don’t cover it, Practicl says so and routes the question to your team. No extrapolation, no plausible-sounding guesses.
The plan is for each link to be its own configuration of the same ingested source: a persona for the audience, and a set of tools switched on per link.
Search is live today. The tools marked below are what we’re building — they are not in the product yet.
* on the roadmap — not in the product yet
which tools come with which plan is still being set — see pricing
Send a link to one public PDF. We ingest it, and you ask it anything — about your own laser, your own spectrometer, your own error codes.
Request the demo→one public PDF · no integration · answers in days