The context engine for agents, assistants and apps.

Ragie combines document parsing, entity extraction, and intelligent retrieval to power your AI with accurate, reliable context.

Trusted by teams building context-powered AI, from startups to large enterprises.

Product

Give your AI the context it needs to work.

Purpose-built APIs for every context need.

Parse

Ragie's Agentic OCR extracts structured elements from any document, including tables, forms, charts, and key-value pairs, with precise bounding boxes for full traceability.

Entity Extraction

Tell Ragie what to extract in plain language and it automatically pulls structured entities from every document. Precise extraction for when context alone isn't enough.

Index and Retrieval

Ragie builds vector, keyword, and summary indexes from your content and handles the full retrieval pipeline, so your agents and assistants always get the right context, fast and at any scale.

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.

Product

Everything you need to build context-powered AI.

Purpose-built APIs for every context need.

Multimodal

Text, PDFs, images, audio, video. Ragie handles any format through one unified pipeline, so your agents always get clean, accurate context regardless of the source.

Native Connectors

Sync from Google Drive, Notion, Confluence, Slack, and many more, automatically. Or embed connectors in your app so your customers can connect their own data.

Hybrid Search

Ragie builds three separate indexes, vector, keyword, and summary, and combines them to surface the most accurate context every time.

MCP Server

Ragie's context-aware MCP server gives your agents permissioned access to your knowledge base through the AI tools your team already uses.

Partitions

Securely isolate data by tenant, workspace, or customer to prevent leakage and improve retrieval relevance at scale.

And much more

Reranking, webhooks, recency bias, deep search, and everything else you need to deliver accurate context at scale.

Meet Ragie.

The Context Engine for Agents, Assistants and Apps

RAG-as-a-Service platform
Use Cases

AI teams run on context. Ragie delivers it.

Trusted across industries where context accuracy matters.

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

Built for production.
Ready for Enterprise.

Ragie meets the security and reliability requirements that production AI demands.

SOC 2 Type II, GDPR, HIPAA, CCPA

Enterprise-grade security certified for sensitive and regulated data.

99.9%+ Uptime

Battle-tested infrastructure you can trust in production and at scale.

Flexible Deployment

Deploy in the cloud, in your own VPC, or on-prem. Ragie fits your infrastructure requirements, not the other way around.

Multi-Tenant Architecture

Isolate data by tenant, workspace, or customer to prevent leakage and improve retrieval relevance at scale.

EU Deployment available.  Keep your data in the EU for GDPR-compliant data residency and low-latency retrieval.
What builders are saying

Developers love Ragie.

"I LOVE ragie!"
Luke Thomas, Director of New Products @ Zapier
"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."
Chris Messina
"Loving it so far. Working on an education application - going well so far."
Jeff Holmes
"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
Mikhail
“Ok I think I’m in love with @ragieai”
J
@hide_hq
“Hey all 🙂 So happy I found ragie!”
J
Alexander
“Hello!! Love what you’ve put together- the whole API seems very elegant and intuitive.”
J
John
“Hey guys, back again 😅 Good news, Ragie is a hit at my company!”
J
Jerry
“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.”
@rostammahabadi
“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!”
Pierre, VP of Customer Experience @ Make.com
“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.”
Sujit
“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.”
Sai
“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.”
Stephen
“I think ragie is dope! We are trying it for our products”
Rishi
“Never skipping a Theo sponsor again wish i found out about ragie 2 months ago 😭 would have saved me so much time”
@sameerrangwala6731
“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
Jorge
“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
Kartik
“Just got the documents to work. Superb stuff. Works super fast. Incredible.”
Alf
“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
Kevin
“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”
Seth
“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.”
Alex Klarfeld, Founder @ supergood.ai
“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.”
McKay Wrigley, Founder @ Takeoff AI
“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”
Sampei Omichi, Founder & CEO @ Ellis
“Ragie helped us deliver in 3 weeks instead of 3 months.”
Evan Owen CEO and Co-Founder, Glue
"I LOVE ragie!"
Luke Thomas, Director of New Products @ Zapier
"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."
Chris Messina
"Loving it so far. Working on an education application - going well so far."
Jeff Holmes
"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
Mikhail
“Ok I think I’m in love with @ragieai”
J
@hide_hq
“Hey all 🙂 So happy I found ragie!”
J
Alexander
“Hello!! Love what you’ve put together- the whole API seems very elegant and intuitive.”
J
John
“Hey guys, back again 😅 Good news, Ragie is a hit at my company!”
J
Jerry
“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.”
@rostammahabadi
“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!”
Pierre, VP of Customer Experience @ Make.com
“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.”
Sujit
“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.”
Sai
“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.”
Stephen
“I think ragie is dope! We are trying it for our products”
Rishi
“Never skipping a Theo sponsor again wish i found out about ragie 2 months ago 😭 would have saved me so much time”
@sameerrangwala6731
“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
Jorge
“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
Kartik
“Just got the documents to work. Superb stuff. Works super fast. Incredible.”
Alf
“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
Kevin
“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”
Seth
“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.”
Alex Klarfeld, Founder @ supergood.ai
“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.”
McKay Wrigley, Founder @ Takeoff AI
“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”
Sampei Omichi, Founder & CEO @ Ellis
“Ragie helped us deliver in 3 weeks instead of 3 months.”
Evan Owen CEO and Co-Founder, Glue
"I LOVE ragie!"
Luke Thomas, Director of New Products @ Zapier
"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."
Chris Messina
"Loving it so far. Working on an education application - going well so far."
Jeff Holmes
"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
Mikhail
“Ok I think I’m in love with @ragieai”
J
@hide_hq
“Hey all 🙂 So happy I found ragie!”
J
Alexander
“Hello!! Love what you’ve put together- the whole API seems very elegant and intuitive.”
J
John
“Hey guys, back again 😅 Good news, Ragie is a hit at my company!”
J
Jerry
“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.”
@rostammahabadi
“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!”
Pierre, VP of Customer Experience @ Make.com
“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.”
Sujit
“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.”
Sai
“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.”
Stephen
“I think ragie is dope! We are trying it for our products”
Rishi
“Never skipping a Theo sponsor again wish i found out about ragie 2 months ago 😭 would have saved me so much time”
@sameerrangwala6731
“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
Jorge
“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
Kartik
“Just got the documents to work. Superb stuff. Works super fast. Incredible.”
Alf
“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
Kevin
“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”
Seth
“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.”
Alex Klarfeld, Founder @ supergood.ai
“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.”
McKay Wrigley, Founder @ Takeoff AI
“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”
Sampei Omichi, Founder & CEO @ Ellis
“Ragie helped us deliver in 3 weeks instead of 3 months.”
Evan Owen CEO and Co-Founder, Glue

Get started in minutes.

Questions? Answers.