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

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!"}'
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.
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

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

Founder & CEO, Ellis

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

Founder & CEO, Ellis

"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."

Co-Founder & Chief AI Officer, Vambe

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

Founder & CEO, Ellis