Feyard
Free NotebookLM alternative

A free NotebookLM alternative that keeps your sources on-device An on-device Google NotebookLM, Notion AI & ChatGPT alternative.

Feyard RAG Search grounds every answer in your own PDFs and DOCX — entirely in your browser. No Google account, no upload, source-cited and free to start.

Detectando GPU…
100 % privado
Gratis para uso comercial
Open the RAG Search Read the long-form guide

NotebookLM grounds answers in sources you upload — but those sources go to Google's cloud. Feyard does the same grounding in your browser: chunk, embed and retrieve locally, then generate an answer tied to your exact passages, with no Google account and no upload.

Comparison reflects publicly documented free-tier behaviour as of 22 October 2026. Confirm specifics against each vendor's own page before making a decision.

Sources stay on your device

Indexing and retrieval run locally on WebAssembly / WebGPU. Your notes, papers and reports never leave the browser, so there is nothing to delete afterwards.

Answers are tied to your passages

Every response cites the source document and the specific passage, so you can check a claim against the original instead of trusting a summary.

Mix PDFs and DOCX in one corpus

Build one research corpus from many files and ask across all of them — useful for literature reviews, due diligence and meeting prep.

No Google account, no upload

Start asking immediately. There is no sign-up and no cloud round trip, which also means no retention policy to read.

Side by side

Feyard vs Google NotebookLM vs Notion AI vs ChatGPT

Every competitor below sends your files to a server and charges for the round trip. The differences that matter are where the data is processed and what the free tier is allowed to be used for.

Feyard compared with Google NotebookLM, Notion AI, ChatGPT for rag search
CapabilityFeyardGoogle NotebookLMNotion AIChatGPT
Where sources are processedIn your browser — never uploadedGoogle cloud (upload required)Notion cloud (upload required)OpenAI cloud (upload required)
Account requiredNoYes (Google account)Yes (Notion workspace)Yes (OpenAI account)
Upload requiredNoYesYesYes
Source-cited answersYes — passage + pageYes (grounded)PartialNo (no citations by default)
Multi-document corpusYes (5 free / 20 Pro)Yes (source limit)Yes (workspace)Via file upload
Price$0Free / paid tiersSubscriptionSubscription
FAQ

RAG Search alternatives FAQ

If you want source-grounded answers without a Google account and without uploading your files, use Feyard RAG Search on this page: it runs entirely in your browser, cites the passages it used, and is free to start with no account.

Looking for something specific? The dedicated product page covers the engine, limits and batch export in detail — open the rag search.