Meet Ragie.
The Context Engine for Agents, Assistants and Apps
"I LOVE ragie!"
"Ragie was a partner in content extraction and indexing since the beginning of our work with AI retrieval. Their API is fantastic, support is top-notch, and the quality of their retrieval engine and associated features just keeps improving."
"Loving it so far. Working on an education application - going well so far."
"You guys are great. I was chatting with Danny Varty from your team the other day - he was the one who encouraged me to try out Ragie and it's been working great."
M
“Ok I think I’m in love with @ragieai”
J
“Hey all 🙂 So happy I found ragie!”
J
“Hello!! Love what you’ve put together- the whole API seems very elegant and intuitive.”
J
“Hey guys, back again 😅 Good news, Ragie is a hit at my company!”
J
“I use Ragie with my clients, it’s easy to setup and they have Base Chat which plugs directly into their rag service. Fully customizable and flexible. Also, their team has been awesome to work with.”
“Sending a message to express how much impressed I am with your product. Exactly what I was envisioning down here in Europe a year ago to propel RAG to the mass. And you did it (I’m jealous ;)) Great job!”
“Our engineering team has been integrating Ragie into an agentic application we’re developing, and we’ve been impressed with the platform's capabilities so far.”
“15 mins ago I wanted to build a RAG SaaS. Then I found Ragie and started using Base Chat. Now I want to work for you.”
“We’re in a build/buy decision stage for building data pipelines and RAG tooling, and your proudct is the first that really seems to handle some unique aspects I hadn’t found elsewhere, namely custom entity extraction.”
“I think ragie is dope! We are trying it for our products”
“Never skipping a Theo sponsor again wish i found out about ragie 2 months ago 😭 would have saved me so much time”
“I had a chance to try the video feature today, and it’s truly amazing. I plan to include it in my upcoming presentation.”
K
“I must say I am quite impressed with what you guys have build and honestly it really takes a lot of the pain away from teams and people like me who’d like to focus on the actual use case on top of a RAG pipeline.”
K
“Just got the documents to work. Superb stuff. Works super fast. Incredible.”
“Already setup some partitions and have used them in Claude Code and Cursor as MCP agents to assisst in code production -- worked like a charm!”
K
“I’ve been reading up the docs for the last hour so as our team is trying to abstract our RAG away to something like Ragie. Really impressive piece of software”
“We love using Ragie. I absolutely did not want to go through the hassle of setting up our own RAG-infra, plus dealing with all the complexities around chunking. Ragie takes care of all this for me.”
“Ragie is unbelievable! I’ve started to use it for all my retrieval needs in production. And it has an A+ developer experience. Really, really excited for more people to start building with it - it’s a gem.”
“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”
“Ragie helped us deliver in 3 weeks instead of 3 months.”
"I LOVE ragie!"
"Ragie was a partner in content extraction and indexing since the beginning of our work with AI retrieval. Their API is fantastic, support is top-notch, and the quality of their retrieval engine and associated features just keeps improving."
"Loving it so far. Working on an education application - going well so far."
"You guys are great. I was chatting with Danny Varty from your team the other day - he was the one who encouraged me to try out Ragie and it's been working great."
M
“Ok I think I’m in love with @ragieai”
J
“Hey all 🙂 So happy I found ragie!”
J
“Hello!! Love what you’ve put together- the whole API seems very elegant and intuitive.”
J
“Hey guys, back again 😅 Good news, Ragie is a hit at my company!”
J
“I use Ragie with my clients, it’s easy to setup and they have Base Chat which plugs directly into their rag service. Fully customizable and flexible. Also, their team has been awesome to work with.”
“Sending a message to express how much impressed I am with your product. Exactly what I was envisioning down here in Europe a year ago to propel RAG to the mass. And you did it (I’m jealous ;)) Great job!”
“Our engineering team has been integrating Ragie into an agentic application we’re developing, and we’ve been impressed with the platform's capabilities so far.”
“15 mins ago I wanted to build a RAG SaaS. Then I found Ragie and started using Base Chat. Now I want to work for you.”
“We’re in a build/buy decision stage for building data pipelines and RAG tooling, and your proudct is the first that really seems to handle some unique aspects I hadn’t found elsewhere, namely custom entity extraction.”
“I think ragie is dope! We are trying it for our products”
“Never skipping a Theo sponsor again wish i found out about ragie 2 months ago 😭 would have saved me so much time”
“I had a chance to try the video feature today, and it’s truly amazing. I plan to include it in my upcoming presentation.”
K
“I must say I am quite impressed with what you guys have build and honestly it really takes a lot of the pain away from teams and people like me who’d like to focus on the actual use case on top of a RAG pipeline.”
K
“Just got the documents to work. Superb stuff. Works super fast. Incredible.”
“Already setup some partitions and have used them in Claude Code and Cursor as MCP agents to assisst in code production -- worked like a charm!”
K
“I’ve been reading up the docs for the last hour so as our team is trying to abstract our RAG away to something like Ragie. Really impressive piece of software”
“We love using Ragie. I absolutely did not want to go through the hassle of setting up our own RAG-infra, plus dealing with all the complexities around chunking. Ragie takes care of all this for me.”
“Ragie is unbelievable! I’ve started to use it for all my retrieval needs in production. And it has an A+ developer experience. Really, really excited for more people to start building with it - it’s a gem.”
“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”
“Ragie helped us deliver in 3 weeks instead of 3 months.”
"I LOVE ragie!"
"Ragie was a partner in content extraction and indexing since the beginning of our work with AI retrieval. Their API is fantastic, support is top-notch, and the quality of their retrieval engine and associated features just keeps improving."
"Loving it so far. Working on an education application - going well so far."
"You guys are great. I was chatting with Danny Varty from your team the other day - he was the one who encouraged me to try out Ragie and it's been working great."
M
“Ok I think I’m in love with @ragieai”
J
“Hey all 🙂 So happy I found ragie!”
J
“Hello!! Love what you’ve put together- the whole API seems very elegant and intuitive.”
J
“Hey guys, back again 😅 Good news, Ragie is a hit at my company!”
J
“I use Ragie with my clients, it’s easy to setup and they have Base Chat which plugs directly into their rag service. Fully customizable and flexible. Also, their team has been awesome to work with.”
“Sending a message to express how much impressed I am with your product. Exactly what I was envisioning down here in Europe a year ago to propel RAG to the mass. And you did it (I’m jealous ;)) Great job!”
“Our engineering team has been integrating Ragie into an agentic application we’re developing, and we’ve been impressed with the platform's capabilities so far.”
“15 mins ago I wanted to build a RAG SaaS. Then I found Ragie and started using Base Chat. Now I want to work for you.”
“We’re in a build/buy decision stage for building data pipelines and RAG tooling, and your proudct is the first that really seems to handle some unique aspects I hadn’t found elsewhere, namely custom entity extraction.”
“I think ragie is dope! We are trying it for our products”
“Never skipping a Theo sponsor again wish i found out about ragie 2 months ago 😭 would have saved me so much time”
“I had a chance to try the video feature today, and it’s truly amazing. I plan to include it in my upcoming presentation.”
K
“I must say I am quite impressed with what you guys have build and honestly it really takes a lot of the pain away from teams and people like me who’d like to focus on the actual use case on top of a RAG pipeline.”
K
“Just got the documents to work. Superb stuff. Works super fast. Incredible.”
“Already setup some partitions and have used them in Claude Code and Cursor as MCP agents to assisst in code production -- worked like a charm!”
K
“I’ve been reading up the docs for the last hour so as our team is trying to abstract our RAG away to something like Ragie. Really impressive piece of software”
“We love using Ragie. I absolutely did not want to go through the hassle of setting up our own RAG-infra, plus dealing with all the complexities around chunking. Ragie takes care of all this for me.”
“Ragie is unbelievable! I’ve started to use it for all my retrieval needs in production. And it has an A+ developer experience. Really, really excited for more people to start building with it - it’s a gem.”
“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”
“Ragie helped us deliver in 3 weeks instead of 3 months.”
Best-in-class indexing and retrieval
Powered by the most advanced RAG pipeline, Ragie uses context engineering to deliver fast, accurate, 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.
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.
Enterprise Ready
Built to meet the security, scale, and reliability requirements of production AI.
explore mcp bridge
MCP Bridge
Provides secure, permissioned access to your knowledge base from the AI apps your team already uses—designed to work seamlessly with your existing IT infrastructure.
Multi-Tenancy
Isolate data by tenant, workspace, or customer to prevent leakage and improve retrieval relevance at scale.
Security and Compliance
Enterprise-grade controls designed to support SOC 2, GDPR, and HIPAA-sensitive data workflows.
EU Deployment
EU-based deployments for GDPR-compliant data residency and low-latency retrieval.
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.
explore documentation
Enterprise-Grade Security & Compliance
From startups to enterprises, Ragie protects your data with AES-256 at rest and TLS in transit, and is GDPR, SOC 2 Type II, HIPAA, CASA, and CCPA compliant. Ragie also supports EU-based deployments to keep customer data in the EU for GDPR-compliant data residency and low-latency retrieval.
For access to our trust center, please contact support@ragie.ai.
connectors
Seamlessly connect data to your application in minutes with Ragie connectors
How it works
Raw data in.
Agent-ready context out.
1
Connect
Upload files via API or sync directly from Google Drive, Notion, Slack, and many more using Ragie's pre-built connectors. Your context stays current automatically.
2
Ingest
Ragie parses, chunks, and indexes your content across text, PDFs, images, audio, and video. No pipeline to build or maintain.
3
Deploy
Get structured data, extracted entities, or retrieved context via API. Pick what your application needs and ship.
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.
Use Cases
AI teams run on context. Ragie delivers it.
Trusted across industries where context accuracy matters.
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.
Context for Legal teams
“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”
Sampei Omichi
Founder & CEO, Ellis
Founder & CEO, Ellis
Ragie powers AI assistants with accurate, company-specific knowledge, letting employees get instant answers from across tools like Google Drive, Notion, and Confluence. The result is faster decisions, fewer blockers, and smoother collaboration across teams.
Context for Productivity teams
“Ragie helped us deliver in 3 weeks instead of 3 months showcasing its ability to significantly accelerate development timelines.”
Evan Owens
Co-founder and CEO, Glue
Co-founder and CEO, Glue
Ragie enhances sales tech 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 customer interactions.
Context for Sales Tech teams
"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
Co-Founder & Chief AI Officer, Vambe
Built with your business in mind
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.
Built for production-ready RAG at scale
Ship confidently with a pipeline that handles parsing, chunking, indexing, and retrieval. Stable SDKs, clear APIs, and predictable performance at enterprise scale, even under heavy data loads.
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