Feyard
Private RAG — no upload

A private RAG tool that never uploads your data On-device retrieval-augmented generation vs cloud RAG platforms.

Feyard RAG Search runs the whole pipeline — chunking, embedding, retrieval, generation — in your browser. Your documents never leave the device: GDPR-friendly, no servers, no retention.

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

Most RAG setups ship your documents to a vector database and a hosted model. Feyard keeps the entire pipeline on the device: the embedding model, the vector index and the generator all run in your browser, so there is no server to trust and nothing to retain for compliance.

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

The whole pipeline is on-device

Chunking, embedding, the vector index and answer generation all run locally on WebAssembly / WebGPU. There is no backend, so your data cannot leak through a request.

Nothing to retain or delete

Because nothing is uploaded, there is no copy on a server to expire, redact or subpoena — a simpler story for GDPR and internal data-handling policies.

Works behind air-gapped policies

No external API calls means it can run on locked-down networks where sending documents to a cloud RAG provider is simply not permitted.

No per-token cloud bill

Inference runs locally, so there is no metered API cost per question — the free tier covers up to 5 documents with no account.

Side by side

Feyard vs OpenAI Assistants vs Google Vertex AI RAG vs Notion AI

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 OpenAI Assistants, Google Vertex AI RAG, Notion AI for rag search
CapabilityFeyardOpenAI AssistantsGoogle Vertex AI RAGNotion AI
Where data is processedIn your browser — never uploadedOpenAI cloud (upload required)Google cloud (upload required)Notion cloud (upload required)
Upload / data retentionNo upload, no retentionStored per policyStored per policyStored per policy
Cloud account requiredNoYes (API key)Yes (GCP)Yes (workspace)
Self-hostable / on-deviceYes — fully client-sideNo (cloud API)No (cloud API)No (cloud)
Runs on locked-down networksYes — no external callsNoNoNo
Per-token cost$0 (local inference)Per tokenPer tokenSubscription
FAQ

RAG Search alternatives FAQ

A RAG tool that runs retrieval-augmented generation without sending your documents to a server. Feyard RAG Search does the embedding, indexing and answering entirely in your browser, so your data never leaves the device.

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