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.

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.

Enterprise ready

Ragie is built for enterprise-scale workloads with multi-tenant architecture, SOC 2-compliant security, and seamless performance at any scale.

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VPC
Ingests data from various sources like text, PDFs, and images via APIs and direct connectors, ensuring seamless integration and updates.
SOC2 (coming soon)
Isolates key information from different formats, filtering out irrelevant data.
Single tenant deployment
Uses techniques like table chunking to break data into meaningful segments while preserving context.

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.

learn about audio and video rag
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.

The simplest way to chat with your knowledge base.

Instantly get accurate, source-backed answers from your company’s docs, wikis, and tools—all in one place.

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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!"}'
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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
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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.
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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

Chat with your data - Gmail and SlackConnector - Amazon S3
Ai Tools for OneDrive and JiraConnectors - Ai Assistants - Notion GoogleConnector Icon
Connect and chat with Hubspot using RagieConnect and chat with SalesforceResearch on Confluence and Dropbox

Deploy in minutes, not months

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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.

Seamless data ingest with built-in authentication and authorization
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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.

Automatic syncing keeps data up to date
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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
Growing library of native integrations
Boost analytics uses Ragie to connect to all their apps including Dropbox, Gmail, OneDrive, Notion, Slack and HubspotConnectors Infographic
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.

Built for real-world applications

Fintech data
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
Sampei Omichi
Founder & CEO, Ellis
Ecommerce Product Review
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
Matias Perez Pefaur
Co-Founder & Chief AI Officer, Vambe
LIfestyle image
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
Sampei Omichi
Founder & CEO, Ellis

Our business is your business

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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.
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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.
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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.
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Questions? Answers.