Ask your documents anything. Get instant answers. | AnswerFetch

AnswerFetch turns your scattered docs, training guides, and history into instant answers — so your sales reps close faster, your support team resolves in one reply, and every decision is backed by what your company already knows.

Lightfield — AI-native CRM that builds itself and does work for you

AI-native CRM that builds itself and does work for you

I'm Mike, founder of AnswerFetch. I built this after watching enterprise teams waste hours digging through SharePoint folders, email chains, and PDFs just to answer questions that should take seconds. AnswerFetch lets businesses upload their documents and instantly get accurate AI-powered answers from them — think ChatGPT but trained only on your company's own files, with no hallucinations from outside data leaking in. We support OneDrive, SharePoint, Outlook, local files, and OCR on scanned docs. There's a public REST API for teams that want to embed it into their own workflows. Would love your honest feedback — especially from anyone who's tried other RAG/doc-intelligence tools and hit a wall. What's been missing for you? Thanks for hunting us! 🙏

Hey Mike, congrats on the launch. Been building in the same RAG space for a while at TalkBuildr, the hardest part for us wasn't ingesting the docs, it was dedup on re-ingest and keeping vector search honest when doc content changes. How do you handle that, diff on source_id or just replace the whole collection on re-upload?

Curious if this works with structured data like TV databases or scheduling files. Building CouchTime and wondering if something like this could help users query their watch history.

Lightfield — AI-native CRM that builds itself and does work for you

AI-native CRM that builds itself and does work for you

Curious if this works with structured data like TV databases or scheduling files. Building CouchTime and wondering if something like this could help users query their watch history.