The world's

most

connected

most

accurate

easiest-to-use

fastest-to-deploy

most

connected

most

accurate

easiest-to-use

fastest-to-deploy

RAG-as-a-Service.

Fully managed multimodal RAG-as-a-Service for developers.

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Ragie Multimodal RAG Engine graphic chip

Best-in-class indexing and retrieval

Powered by the most advanced RAG engine, Ragie delivers fast, accurate, and context-rich retrieval through structured chunking, multi-layered indexing, and LLM-aware optimizations — built for production-grade generative AI.

explore ragie’s advanced rag engine

Parsing

Normalizes inputs across formats like PDFs, DOCs, HTML, and media — creating consistent, structured data ready for processing.

Extraction

Identifies key signals like entities, metadata, and boundaries — laying the groundwork for high-quality, context-aware retrieval.

Chunking

Segments content into logically grouped chunks using type-specific strategies — preserving context and improving recall.

Indexing

Builds vector, keyword, and summary indexes — enabling semantic search, keyword retrieval, and hierarchical high-level recall.

Retrieval

Combines multi-index recall with precision re-ranking — delivering grounded, context-rich results for any LLM.

Multimodal RAG

Built to handle any data you throw at it — Ragie’s multimodal ingest pipeline processes text, PDFs, images, audio, video, tables, and more. It parses, enriches, and structures diverse content into a unified format ready for chunking, indexing, and retrieval.

Audio and video

Transcribe, chunk, and retrieve insights from spoken and visual content—with timestamps and streaming playback.

PDFs

Handles large, complex PDFs with ease including documents packed with text, tables, charts, and images.

Text

From plaintext to rich text formats like DOCX and HTML, handle unstructured content with ease—ready for parsing, chunking, and retrieval.

Presentations

Pull content from PowerPoints and Google Slides. Automatically extract speaker notes, slide text, and embedded visuals for retrieval.

Structured Data

Combines multi-index recall with precision re-ranking — delivering grounded, context-rich results for any LLM.

Application ready

Ragie offers out-of-the-box features that accelerate your application development.

read the docs

Connectors

Pre-built integrations that connect and synchronize your data from popular sources like Google Drive, Confluence, Notion, and more.

Embedded Connectors

Embed connectors directly in your application with Ragie Connect and let your users securely upload and manage their own data.

Partitions

Logically separate your data into isolated containers for secure multi-tenancy and focused retrieval, enhancing application relevance and data privacy.

Webhooks

Monitor key events in real-time, ensuring seamless tracking and faster response to issues.

APIs

Easily plug Ragie into your app with developer-friendly APIs for ingest and retrieval.

SDKs

Access Ragie’s full capabilities with minimal setup using streamlined SDKs designed for common dev environments.

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Made for engineers, by engineers

1// Install ragie client first: npm i ragie
2
3import { Ragie } from "ragie";
4
5const ragie = new Ragie({ auth: process.env.RAGIE_API_KEY });
6
7const document = await ragie.documents.createRaw({
8  data: "Hello, world!",
9});
10
11while (true) {
12  const doc = await ragie.documents.get({ documentId: document.id });
13  if (doc.status === "ready") break;
14}
15
16const retrieval = await ragie.retrievals.retrieve({ query: "Hello, world!" });

1# Install ragie client first: pip install ragie
2
3import os
4from ragie import Ragie
5
6ragie = Ragie(auth=os.environ.get("RAGIE_API_KEY"))
7
8document = ragie.documents.create_raw(request={"data": "Hello, world!"})
9
10while True:
11    doc = ragie.documents.get(document_id=document.id)
12    if doc.status == "ready":
13        break
14
15retrieval = ragie.retrievals.retrieve(request={"query": "Hello, world!"})

1#!/bin/bash
2
3curl -s -X POST "https://api.ragie.ai/documents/raw" \
4  -H "Authorization: Bearer ${RAGIE_API_KEY}" \
5  -H "Content-Type: application/json" \
6  -d '{"data": "Hello, world!"}'
7
8# Wait a second or two for the document to be ready
9sleep 2
10
11curl -s -X POST "https://api.ragie.ai/retrievals" \
12  -H "Authorization: Bearer ${RAGIE_API_KEY}" \
13  -H "Content-Type: application/json" \
14  -d '{"query": "Hello, world!"}'

SDKs

Ragie’s SDKs help developers get started quickly—whether importing data, running pipelines, or building interfaces. Supporting Python, TypeScript, and REST, they simplify integration and give full control over your RAG workflows.

REad the docs

Open source tools and apps

Build, test, and scale RAG workflows faster with open source tools built for real-world development. From ingestion to context serving and prompt testing, Ragie has everything you need to go from prototype to production.

See tools and apps

Documentation

Built for builders. Ragie’s docs are thorough, intuitive, and written by developers for developers. From quick starts to deep dives, you'll find clear guidance and real examples—all designed for a great developer experience.

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connectors

Seamlessly connect data to your application in minutes with Ragie connectors

Deploy in minutes, not months

Seamless data ingest with built-in authentication and authorization

Ragie’s fully-managed connectors handle authentication and authorization to securely access data from popular data sources, freeing up precious engineering time and resources.

Automatic syncing keeps data up to date

Automatic syncing keeps your RAG pipeline up to date, ensuring your application delivers accurate and reliable information around the clock.

Growing library of native integrations

Purpose-built for AI applications, Ragie’s growing list of native connectors allow seamless integration with the most popular data sources. Connect your data (or your customers’) to your app, no matter where it lives.

View Integrations

Boost analytics uses Ragie to connect to all their apps including Dropbox, Gmail, OneDrive, Notion, Slack and Hubspot

ragie connect

Embed connectors directly in your app with Ragie Connect

With Ragie Connect, your customers can securely connect and manage their own data, directly from your application.

For white-label version, chat with sales.

Learn about ragie connect

Built for real-world applications

Ragie optimizes legal research with unmatched recall and precision—capturing every relevant detail while filtering out the noise. Legal professionals work faster, minimize risk, and make confident decisions.

Ragie achieves 99.4% recall accuracy

“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”

Sampei Omichi
Founder & CEO, Ellis

Ragie achieves 99.4% recall accuracy

“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”

Sampei Omichi
Founder & CEO, Ellis

Ragie enhances e-commerce intelligence with precise, high-recall retrieval—surfacing the most relevant insights from product data, customer interactions, and reviews. Teams make faster decisions, reduce friction, and deliver more personalized shopping experiences.

Ragie achieves 99.4% recall accuracy

"Ragie's embedding process is simply superior to others we've tried. Our AI agents improved almost immediately after the switch - an improvement that our clients noticed as well."

Matias Perez Pefaur
Co-Founder & Chief AI Officer, Vambe

Ragie achieves 99.4% recall accuracy

“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”

Sampei Omichi
Founder & CEO, Ellis

Our business is your business

We’re your partners in AI development

Think of Ragie as an extension of your product and engineering team. Whether you're building internal tools or customer-facing apps, we help you move faster—and your application gets smarter over time as we stay ahead of the AI curve.

Your data stays yours

Ragie protects your data with bank-grade AES-256 encryption for storage and TLS encryption for transmission, with SOC2 Type I and CASA certification. SOC2 Type II certification is coming soon.

Flexible pricing that grows with you

From free developer tools to enterprise-scale solutions, Ragie’s pricing is designed to support every stage of your journey. Start for free, grow with Starter and Pro plans, and scale with Enterprise.

View pricing

Start building today

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Questions? Answers.

What is Ragie?
Ragie is a fully managed RAG-as-a-Service designed for developers to streamline the ingestion, chunking, and multimodal indexing of structured and unstructured data. Ragie offers simple APIs and SDKs, seamless integration with popular data sources like Google Drive, Notion, and Confluence, and built-in advanced features like summary indexing, chunk reranking, flexible vector filtering, and hybrid semantic and keyword search—helping your application deliver state-of-the-art generative AI.
Why should you use Ragie?
Building production applications using RAG can be very tedious. Developers must connect and sync multiple data sources, extract meaningful data from various file formats, implement evolving techniques for chunking and retrieval, build a scalable and resilient data processing pipeline, avoid hallucinations, and ensure content accuracy. Using open-source frameworks can be time-consuming and often results in brittle applications. Originally developed for Glue, Ragie solves this by providing a fully managed RAG-as-a-Service platform.
Who should use Ragie?
Ragie is ideal for developers who want to build AI applications that leverage their own data for accurate and relevant outputs. Whether you're working on internal chatbots, enterprise SaaS products, or any application requiring context-rich AI capabilities, Ragie is perfect for teams wanting to avoid the complexities of setting up a RAG pipeline. From startups needing a quick solution to enterprises requiring advanced data management, Ragie dramatically speeds up time to deployment.
How does Ragie work?
With Ragie, you can easily connect your AI application to your data using simple APIs. Or, connect directly to popular data sources like Google Drive and Notion, with built-in OAuth integration. Automatic syncing keeps your data up-to-date, ensuring your application delivers accurate and reliable information. Ragie handles everything—from video and audio to text, images, PDFs, and PowerPoint presentations.

After uploading your data, Ragie automatically chunks and embeds it into vectors using the latest multilingual LLMs. These vectors are then stored in a highly-scalable vector database, capable of handling increasing amounts of data and queries over time without slowing down. Out of the box, Ragie builds vector, summary, and keyword indexes, to help organize information and optimize the retrieval process.

Finally, use Ragie’s retrieval API to get the most relevant chunks. Built-in advanced features like LLM re-ranking, summary index, entity extraction, and hybrid semantic and keyword search ensure your RAG pipeline delivers the most accurate and relevant results to your AI application.
Why is Ragie better than the alternatives?
Ragie was built specifically for developers, offering a streamlined DX. With easy-to-use APIs, SDKs, and seamless connectivity to data sources like Google Drive, Notion, and Confluence, and more, Ragie helps you deploy in minutes instead of months. Built-in advanced features such as summary index, entity extraction, and hybrid semantic and keyword search allows developers to focus on building their applications, instead of worrying about infrastructure.
How does Ragie keep my data secure?
How much does Ragie cost?

most

connected

most

accurate

easiest-to-use

fastest-to-deploy

most

connected

most

accurate

easiest-to-use

fastest-to-deploy

Best-in-class indexing and retrieval

Enterprise ready

Multimodal RAG

Application ready

Deploy in minutes, not months

Embed connectors directly in your app with Ragie Connect

Built for real-world applications

“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”

“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”

"Ragie's embedding process is simply superior to others we've tried. Our AI agents improved almost immediately after the switch - an improvement that our clients noticed as well."

“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”

Start building today

Questions? Answers.