FastRAG is an open-source project built for next.js developers building AI SaaS products.

How much does FastRAG cost?

FastRAG is open source (Open Source); commercial plans start at $99.

What platforms does FastRAG run on?

FastRAG runs on the web and the command line. It can also be self-hosted.

Is FastRAG still active?

Unverified. FastRAG has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What are alternatives to FastRAG?

Similar projects tracked by PulseGate include RAGFlow, VegaRAG, and PDF RAG AI.

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FastRAG

Name: FastRAG
Price: 99 USD

fastrag.liveInfrastructure

FastRAG is an open-source RAG (Retrieval-Augmented Generation) starter kit for Next.js developers. It enables rapid ingestion of PDFs and URLs, chat with documents using GPT-4o, and easy deployment to Vercel. Designed for developers building AI SaaS products, it includes production-ready infrastructure and lifetime updates.

Open SourceWebCLISelf-hosted

Visit fastrag.live

Overview

5 features

In the RAG, search & retrieval space, FastRAG takes a focused approach. It focuses on accelerating the development of AI SaaS apps with ready-to-use RAG infrastructure for Next.js. It is built as an open-source project for next.js developers building AI SaaS products. FastRAG is open source under the Open Source license. It runs on the web and the command line, and it can be self-hosted.

FastRAG first shipped in 2024. Among its 5 catalogued features are PDF ingestion, URL ingestion, and chat with documents. It exposes integrations via a public API.

Summary written by a language model from the project’s public pages.

PDF ingestion
URL ingestion
Chat with documents
Vercel deployment
Web scraping

Built with & integrations

Framework

Next.js

Hosting

Vercel

AI providers

openaimultiple

Connectors

API

Runs on

BrowserCLISelf-hosted

Detected from

Next.js: /_next/static/ in the HTML
openai: bgpt- in the HTML
Vercel: x-vercel-id header · x-vercel-cache header
multiple: bLangChain in the HTML

Trust & compliance

License

Open Source

Verified signals

HTTPSPrivacy Policy Terms of ServiceOpen Source

Legal

Indexing history

What PulseGate has recorded for this listing

Indexed29 Jun · 10:31 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about FastRAG

What does FastRAG do?: FastRAG focuses on accelerating the development of AI SaaS apps with ready-to-use RAG infrastructure for Next.js. It is catalogued under RAG, search & retrieval on PulseGate.
Who is FastRAG for?: FastRAG is an open-source project built for next.js developers building AI SaaS products.
How much does FastRAG cost?: FastRAG is open source (Open Source); commercial plans start at $99.
What platforms does FastRAG run on?: FastRAG runs on the web and the command line. It can also be self-hosted.
Is FastRAG still active?: Unverified. FastRAG has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to FastRAG?: Similar projects tracked by PulseGate include RAGFlow, VegaRAG, and PDF RAG AI.RAGFlow VegaRAG PDF RAG AI
How long has FastRAG been around?: FastRAG first shipped in 2024.
Is FastRAG open source?: Yes — FastRAG is open source under the Open Source license.

At a glance

Pricing: Open Source
Platforms: API · CLI · Web
Languages: English
License: Open Source
Built for: Next.js developers building AI SaaS products
Model: Open source
Solves: Accelerating the development of AI SaaS apps with ready-to-use RAG infrastructure for Next.js.

Index record

Indexed: 29 Jun 2026
Lifecycle: Alive
Last seen: 29 Jun 2026

Identity audit (12)

Slug: fastrag-ship-your-ai-saas-this-weekend-rag-starter-kit-fo-fastrag-live
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 29 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model, checked against the page's own declaration.
Canonical URL: https://fastrag.live/

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