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"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
Best-in-class engine Multimodal Application ready Base Chat
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.
Enterprise ready
Ragie is built for enterprise-scale workloads with multi-tenant architecture, SOC 2-compliant security, and seamless performance at any scale.
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.
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.
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.
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
Legal productivity sales tech Productivity
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.
“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”
Sampei Omichi
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.
learn about rag for productivity
“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.
learn about rag for sales tech
"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
--------- 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
Start building today
Questions? Answers.
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. It offers simple APIs and SDKs, seamless integration with sources like Google Drive, Notion, and Confluence, and built-in capabilities like summary indexing, chunk reranking, flexible vector filtering, and hybrid semantic-keyword search. With agentic retrieval for multi-step reasoning and a context-aware MCP Server that enables intelligent tool use, Ragie helps your applications deliver state-of-the-art, agent-ready generative AI.
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.
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.
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.
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.
Ragie is SOC 2 Type II, GDPR, and HIPAA compliant. Your data is protected with bank-grade AES-256 encryption at rest and TLS encryption in transit. Our infrastructure meets strict enterprise and regulatory standards, ensuring your information stays private and secure. Ragie does not use your data for training.
For more information and to gain access to our trust center, please contact support@ragie.ai.
Ragie’s straightforward pricing aligns with the way apps are developed, deployed, and scaled. Ragie offers a free tier for developers to get started building their applications, a Starter tier for small projects, a Pro plan for production, and Enterprise plan for scale. For more information, visit our Pricing page.
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