We don't have a product catalog yet. We have something better to show you.
This is a real retrieval search running in your browser — ask it something about how we actually work, and watch it find the answer inside real text, live.
Ask a real question, get a real answer
Pick a document below, then ask something about it. Retrieval runs entirely in your browser — no installation, no camera access, and nothing is sent to a server.
- Pick a document, or paste your own text to search instead.
- Ask a question in plain language — it doesn't need to match the wording exactly.
- The most relevant sentence(s) light up in the document, and the retrieved answer appears on the right.
This is a real product pattern, not a gimmick
The demo above uses TF-IDF weighting and cosine similarity — an established, genuine information-retrieval technique, not a scripted lookup table — to score every sentence in the document against your question and surface the closest match. That scoring and ranking step is the "R" in RAG: the part that has to work before any answer, generated or extracted, can be trusted.
Production RAG systems we build add a generation step on top — an LLM that paraphrases and synthesizes across several retrieved passages instead of returning one verbatim — but retrieval quality is where most RAG systems actually succeed or fail, which is why we chose to show that part running live rather than fake the rest. It's the same "Evaluate" discipline described in our homepage pipeline, applied to search instead of classification.