Ragie

Early AccessIntroducing Ragie Parse. Extract structured context from real-world documents for agents, retrieval, and workflows.Sign inBook a demoStart for free"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."MMikhail“Ok I think I’m in love with @ragieai”J@hide_hq“Hey all 🙂 So happy I found ragie!”JAlexander“Hello!! Love what you’ve put together- the whole API seems very elegant and intuitive.”JJohn“Hey guys, back again 😅 Good news, Ragie is a hit at my company!”JJerry“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.”KJorge“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.”KKartik“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!”KKevin“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."MMikhail“Ok I think I’m in love with @ragieai”J@hide_hq“Hey all 🙂 So happy I found ragie!”JAlexander“Hello!! Love what you’ve put together- the whole API seems very elegant and intuitive.”JJohn“Hey guys, back again 😅 Good news, Ragie is a hit at my company!”JJerry“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.”KJorge“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.”KKartik“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!”KKevin“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."MMikhail“Ok I think I’m in love with @ragieai”J@hide_hq“Hey all 🙂 So happy I found ragie!”JAlexander“Hello!! Love what you’ve put together- the whole API seems very elegant and intuitive.”JJohn“Hey guys, back again 😅 Good news, Ragie is a hit at my company!”JJerry“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.”KJorge“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.”KKartik“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!”KKevin“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, GlueBest-in-class engineMultimodalApplication readyEnterprise readyBest-in-class indexing and retrievalPowered 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 engineParsingNormalizes inputs across formats like PDFs, DOCs, HTML, and media — creating consistent, structured data ready for processing.ExtractionIdentifies key signals like entities, metadata, and boundaries — laying the groundwork for high-quality, context-aware retrieval.ChunkingSegments content into logically grouped chunks using type-specific strategies — preserving context and improving recall.IndexingBuilds vector, keyword, and summary indexes — enabling semantic search, keyword retrieval, and hierarchical high-level recall.RetrievalCombines multi-index recall with precision re-ranking — delivering grounded, context-rich results for any LLM.Enterprise readyRagie is built for enterprise-scale workloads with multi-tenant architecture, SOC 2-compliant security, and seamless performance at any scale.Schedule a callVPCIngests 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 deploymentUses techniques like table chunking to break data into meaningful segments while preserving context.Multimodal RAGBuilt 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 ragAudio and VideoTranscribe, chunk, and retrieve insights from spoken and visual content—with timestamps and streaming playback.PDFsHandles large, complex PDFs with ease including documents packed with text, tables, charts, and images.TextFrom plaintext to rich text formats like DOCX and HTML, handle unstructured content with ease—ready for parsing, chunking, and retrieval.PresentationsPull content from PowerPoints and Google Slides. Automatically extract speaker notes, slide text, and embedded visuals for retrieval.Structured DataCombines multi-index recall with precision re-ranking — delivering grounded, context-rich results for any LLM.Application readyRagie offers out-of-the-box features that accelerate your application development.read the docsConnectorsPre-built integrations that connect and synchronize your data from popular sources like Google Drive, Confluence, Notion, and more.Embedded ConnectorsEmbed connectors directly in your application with Ragie Connect and let your users securely upload and manage their own data.PartitionsLogically separate your data into isolated containers for secure multi-tenancy and focused retrieval, enhancing application relevance and data privacy.WebhooksMonitor key events in real-time, ensuring seamless tracking and faster response to issues.APIsEasily plug Ragie into your app with developer-friendly APIs for ingest and retrieval.SDKsAccess Ragie’s full capabilities with minimal setup using streamlined SDKs designed for common dev environments.Enterprise ReadyBuilt to meet the security, scale, and reliability requirements of production AI.explore  mcp bridgeMCP BridgeProvides 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-TenancyIsolate data by tenant, workspace, or customer to prevent leakage and improve retrieval relevance at scale.Security and ComplianceEnterprise-grade controls designed to support SOC 2, GDPR, and HIPAA-sensitive data workflows.EU DeploymentEU-based deployments for GDPR-compliant data residency and low-latency retrieval.Deploy in minutes, not monthsSeamless data ingest with built-in authentication and authorizationRagie’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 dateAutomatic syncing keeps your RAG pipeline up to date, ensuring your application delivers accurate and reliable information around the clock.Growing library of native integrationsPurpose-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 Integrationsragie connectEmbed connectors directly in your app with Ragie ConnectWith Ragie Connect, your customers can securely connect and manage their own data, directly from your application.For white-label version, chat with sales.Learn about ragie connectBuilt for real-world applicationsLegalproductivitysales techProductivityRagie 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.learn about rag for legal“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”Sampei OmichiFounder & CEO, EllisRagie 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 OwensCo-founder and CEO, GlueRagie 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 PefaurCo-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 OmichiFounder & CEO, EllisStart building todaystart for freebook a demoQuestions? Answers.What is Ragie?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.Why should you use Ragie?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.Who should use Ragie?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.How does Ragie work?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.Why is Ragie better than the alternatives?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.How does Ragie keep my data secure?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. Ragie also supports EU-based deployments to keep customer data in the EU for GDPR-compliant data residency and low-latency retrieval.For more information and to gain access to our trust center, please contact support@ragie.ai.How much does Ragie cost?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. --- Early AccessIntroducing Ragie Parse. Extract structured context from real-world documents for agents, retrieval, and workflows.Sign inBook a demoStart for freeDeveloperFor personal projects or exploring RagieGet StartedFreeStarterPerfect for smaller scale projectsTry for freeGet Started$100 / monthProProduction ready for small businesses and startupsTry for freeGet Started$500 / month$500 / monthYearly billingMonthly billingEnterpriseDedicated SLAs, designed for growth at scaleContact salesCustom pricingDocuments and ImagesRetrievals1,000 maxUnlimitedUnlimitedUnlimitedPage processing included with plan1,000 max10,000 total60,000 totalUnlimitedAdditional pagesFast-$0.02 / page$0.02 / pageCustomHi-res-$0.05 / page$0.05 / pageCustomSearch and storage-$0.002 per page / month$0.002 per page / monthCustomAudio and VideoStreaming10 GB free$0.001 / MB$0.001 / MBCustomProcessing included with plan10 hours freePay as you goPay as you goCustomPay as you goAudio-$0.0067 / min$0.0067 / minCustomVideo-$0.025 / min$0.025 / minCustomStorage-$0.12 per GB / month$0.12 per GB / monthCustomEmbedded ConnectorsAdd-onFirst connector is free, and then $250 per additional connector / monthWhitelabel ConnectorsBetaAdd-on---Contact SalesAdvanced FeaturesRerankHybrid SearchHierarchical SearchPartitionsEntity ExtractionRecency BiasMulti-Language Support(incl. RTL)Large Doc SupportDeveloperStarterProEnterpriseDocument and ImagesRetrievals1,000 maxPage processing included with plan1,000 maxAdditional pagesFast-Hi-res-Search and storage-Audio and VideoStreaming10 GB freeProcessing included with plan10 hours freePay as you goAudio-Video-Storage-Embedded ConnectorsAdd-onFirst connector is free, and then $250 per additional connector / monthAdvanced FeaturesRerankHybrid SearchHierarchical SearchPartitionsEntity ExtractionRecency BiasGet StartedDocument and ImagesRetrievalsUnlimitedPage processing included with plan10,000 totalAdditional pagesFast$0.02 / pageHi-res$0.05 / pageSearch and storage$0.002 per page / monthAudio and VideoStreaming$0.001 / MBProcessing included with planPay as you goPay as you goAudio$0.0067 / minVideo$0.025 / minStorage$0.12 per GB / monthEmbedded ConnectorsAdd-onFirst connector is free, and then $250 per additional connector / monthAdvanced FeaturesRerankHybrid SearchHierarchical SearchPartitionsEntity ExtractionRecency BiasGet StartedDocument and ImagesRetrievalsUnlimitedPage processing included with plan60,000 totalAdditional pagesFast$0.02 / pageHi-res$0.05 / pageSearch and storage$0.002 per page / monthAudio and VideoStreaming$0.001 / MBProcessing included with planPay as you goPay as you goAudio$0.0067 / minVideo$0.025 / minStorage$0.12 per GB / monthEmbedded ConnectorsAdd-onFirst connector is free, and then $250 per additional connector / monthAdvanced FeaturesRerankHybrid SearchHierarchical SearchPartitionsEntity ExtractionRecency BiasGet StartedDocument and ImagesRetrievalsUnlimitedPage processing included with planUnlimitedAdditional pagesFastCustomHi-resCustomSearch and storageCustomAudio and VideoStreamingCustomProcessing included with planCustomPay as you goAudioCustomVideoCustomStorageCustomEmbedded ConnectorsAdd-onFirst connector is free, and then $250 per additional connector / monthWhitelabel ConnectorsBetaAdd-onContact SalesAdvanced FeaturesRerankHybrid SearchHierarchical SearchPartitionsEntity ExtractionRecency BiasContact salesEvery plan is the right plan.No matter which plan you choose, access all of Ragie’s advanced features.Hybrid SearchCombine the power of semantic search and keyword-based retrieval to deliver more accurate search results and drive higher-quality outputs.PartitionsOrganize your documents into groups for more secure, faster, and precise retrieval. Perfect for multi-tenant SaaS apps and isolated knowledge bases.Entity ExtractionSeamlessly filter through the noise in your data to precisely extract semi-structured information like emails and dates from unstructured text.RerankPrioritize the most relevant search results by re-ordering retrieved content based on contextual relevance. Rerank ensures answers are precise.RerankPrioritize the most relevant search results by re-ordering retrieved content based on contextual relevance. Rerank ensures answers are precise.Learn moreHybrid SearchCombine the power of semantic search and keyword-based retrieval to deliver more accurate search results and drive higher-quality outputs.Learn moreHierarchical SearchImprove search efficiency with multi-document retrieval, enable broader, context-rich results ideal for knowledge bases, analytics, or sales insights.View docsPartitionsOrganize your documents into groups for more secure, faster, and precise retrieval. Perfect for multi-tenant SaaS apps and isolated knowledge bases.View docsEntity ExtractionSeamlessly filter through the noise in your data to precisely extract semi-structured information like emails and dates from unstructured text.View docsRecency BiasEnsures your retrievals prioritize the latest information, making it ideal for applications where live data is more relevant than historical data.View docsQuestions? Answers.How are pages calculated?For PDFs and PowerPoint files, the page count is determined by the number of pages in the document.For other static document types, a page is defined as 3,000 characters, reflecting the average character count for a single page. Ragie supports fractional pages, meaning if your document contains 1,500 characters, it will count as 0.5 of a page.How are image files calculated?A single, standalone image file is counted as one page, using hi-res mode.What if I have a lot of small documents?Ragie combines the character count across all your documents. For instance, if you have 100 documents with 30 characters each, the total character count would be 3,000, which counts as one page.What are search and storage fees?Storage fees are billed on a per-page, per-month basis once you exceed the number of pages included in your plan. For example, if your plan includes 10,000 pages and you store 12,000, you’ll be charged for the extra 2,000 pages at $0.002 per page per month.Audio and video storage is pay as you go, charged at $0.12 per GB per month based on file size — not duration.What’s the difference between fast and hi-res mode for ingest?Fast mode provides reliable, quick extraction of text documents at a low cost. For more complex documents, hi-res mode uses advanced technologies to extract information from charts, graphs, tables, and images, available at a higher cost. Future document updates are included as part of the ingest fee.How are audio and video files billed?Audio and video processing is charged based on duration, not file size.Audio processing: $0.0067 per minuteVideo processing: $0.025 per minuteStreaming: $0.005 per minuteThis includes transcription, chunking, indexing, and retrieval — everything you need to make visual and spoken content searchable. Streaming lets you play back media with timestamped results, so you can jump to the exact moment something was said or shown.How does billing work for overages?Overage charges are handled automatically using credits. When your credit balance isn't enough to cover an overage charge, we automatically add credits in $100 increments to fund it. Unused credits always carry over to the next month.Can I control how much I'm charged?Yes. You can customize your funding increment (the amount of credits added each time your balance needs to be funded, default is $100). You can also set a monthly spending cap in your billing settings, and we'll never charge you beyond that amount for the remainder of the month. Both can be configured anytime in your billing settings.Will I be notified when I'm charged?Yes. You'll receive an email notification each time a funding event occurs, and again if you hit your monthly spending limit.How much does Ragie cost?Ragie’s straightforward pricing aligns with the way apps are developed, deployed, and scaled. Ragie includes 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 custom pricing, schedule a chat with the Ragie team. --- Early AccessIntroducing Ragie Parse. Extract structured context from real-world documents for agents, retrieval, and workflows.Sign inBook a demoStart for freeOCR that understands document layout, not just text.Agentic OCRRagie Parse performs OCR across messy PDFs, slides, and spreadsheets, including large files, inconsistent layouts, and low-quality scans common in production systems.Structured ElementsExtracts structured elements—tables, forms, charts, key-value pairs, and signatures—instead of returning raw text. Output is immediately usable by applications and agents.Accurate bounding boxesEvery extracted element includes precise bounding boxes that map it back to its exact location in the original document. This allows you to see exactly where a value came from, highlight it in the source file, and build systems that require traceability and auditability.Ragie Parse handles complex document layouts across every element type.Whether you're building agents, retrieval, or workflows, Ragie Parse handles complex documents across every element, preserving document structure and bounding boxes.TablesExtracts tables accurately while preserving rows, columns, and relationships.Images and ChartsIdentifies visual elements and associates them with surrounding context.GridsUnderstands grid-based layouts where structure defines meaning.Form FieldsDetects labeled inputs, values, and field groupings in complex forms.Key / ValueExtracts key-value pairs while preserving their semantic relationships.SignaturesIdentifies signatures and links them to their position and context in the document.StampsDetects stamps and markings that often carry legal or operational significance.Scanned DocumentsHandles low-quality scans with layout-aware OCR and structure preservation.Handwritten NotesExtracts handwritten content while retaining its placement and context.Large SpreadsheetsParses large, messy spreadsheets without flattening or losing structure.Video and AudioTranscribes audio and detects visual scenes for structured downstream use.MultilingualSupports multilingual and RTL documents.view parse samplesStructured output,no lock-inRagie Parse returns parsed elements as structured data. Store them, transform them, or index them in your own systems. Or, if it makes sense, continue into Ragie's indexing pipeline. Amazon S3BackblazeConfluenceDropboxFreshdeskGmailAmazon S3BackblazeConfluenceDropboxFreshdeskGmailGoogle Cloud StorageGoogle DriveHubSpotIntercomJiraNotionGoogle Cloud StorageGoogle DriveHubSpotIntercomJiraNotionOneDriveSalesforceSharePointWeb CrawlerZendeskOneDriveSalesforceSharePointWeb CrawlerZendeskProduction-ready connectorsRagie’s connectors integrate Parse with your existing infrastructure, keeping parsed context synchronized as documents evolve. No manual uploads. No data migration.Stuctured context for agents and workflows starts here.Join Ragie Parse Early Access and turn complex documents into reliable structure that agents and systems can depend on.Get early access --- Early AccessIntroducing Ragie Parse. Extract structured context from real-world documents for agents, retrieval, and workflows.Sign inBook a demoStart for freePARSINGPARSINGNormalizing input across formatsRagie begins by ingesting raw data from multiple sources and converting it into structured elements. This ensures consistency and readiness for downstream processing.Multi-modal format supportProcesses PDFs, DOCs, HTML, Markdown, audio, video and more—streamlining pipelines that handle real-world, diverse data sources.Rich metadata extractionAutomatically extracts metadata like titles, headers, authors, timestamps, and page numbers — enhancing document traceability and providing crucial retrieval context.ExtractionExtractionIdentify key signals in raw inputsOnce your data is parsed, Ragie detects and tags critical signals like metadata, entities, and document boundaries — laying the groundwork for high-quality, context-aware retrieval.Enterprise AccountsSpoke with Daniel Perez, Director of Procurement at Nimbus Solutions, on April 12th. He confirmed they’re moving forward with the Enterprise renewal and requested an updated quote by April 18. The revised proposal should include premium support and additional usage credits. Legal review is being handled by Erika Tanaka. Follow-up to be sent from sarah.malik@nimbus.comDaniel PerezErika TanakanameDirector of Procurementjob_titleNimbus Solutionscompany_nameApril 12thApril 18dateEnterprise renewalrenewal_typepremium supportusage creditsrequested_add_onssarah.malik@nimbussolutions.comemail_addressEntity extractionUses LLM-driven entity extraction to tag names, dates, contacts, and domain-specific fields — enabling smarter chunking and high-relevance retrieval.Multimodal signal detectionDetects structural signals like page numbers and timestamps across formats like PDFs, transcripts, audio, and video — helping Ragie segment content more intelligently and preserve context during chunking.RefinementRefinementOptimizing data for RAG with structured enhancementsTransforms parsed content into high-quality, LLM-ready inputs using a combination of formatting normalization and model-powered enrichment.Imagecompany_logoDescription: Logo consisting of overlapping blue and yellow circles followed by the text “Nimbus Solutions” in large, bold font.Textcompany_overview“At Nimbus Solutions, we don’t just house your data—we power your business. Our state-of-the-art data centers are designed for enterprises that demand reliability, scalability, and uncompromising security.”Textcompany_addressContent: “Nimbus Solutions, Inc.
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4550 Horizon Parkway, Suite 300
San Vista, CA 94082, USA”Tablecompany_overviewTwo-column table listing features and corresponding details:Imageinfrastructure_imagesVisual evidence of infrastructure. Grid of 3 data center photos—servers, cables, and monitoring equipment. One image labeled “New Mexico Data Center.”LLM-based content enhancementApplies language and vision models to enrich raw content — including generating captions for images and video, and converting tables into structured, validated Markdown — ensuring richer context for downstream generation.Format normalization & cleanupStandardizes layouts, fixes messy formatting, and resolves inconsistencies across formats like HTML, transcripts, and scanned documents,  — producing clean, high-signal inputs ready for indexing and retrieval.CHUNKINGChunkingStructuring content for precision recallThis phase segments content into logically grouped chunks that maximize retrieval quality and generation fidelity.Nimbus Solutions maintains a globally distributed infrastructure designed for high reliability, low latency, and strict compliance with enterprise standards.Our primary offering focuses on high-availability data storage and processing, purpose-built for critical enterprise-grade applications.The architecture includes five Tier III+ data centers located across North America and Europe, with additional expansion into the APAC region planned for Q1 2026.Image of a partially constructed data center showcasing empty server racks aligned in a standard hot/cold aisle layout. Overhead cable trays and visible trusses suggest active infrastructure installation. Equipment rests on wooden pallets, indicating the staging phase. Environment is industrial, with exposed ceilings and minimal cabling completed. Useful for understanding early-stage rack layout and physical setup processes in data center deployment.Nimbus Solutions maintains a globally distributed infrastructure designed for high reliability, low latency, and strict compliance with enterprise standards.Our primary offering focuses on high-availability data storage and processing, purpose-built for critical enterprise-grade applications.The architecture includes five Tier III+ data centers located across North America and Europe, with additional expansion into the APAC region planned for Q1 2026.Image of a partially constructed data center showcasing empty server racks aligned in a standard hot/cold aisle layout. Overhead cable trays and visible trusses suggest active infrastructure installation. Equipment rests on wooden pallets, indicating the staging phase. Environment is industrial, with exposed ceilings and minimal cabling completed. Useful for understanding early-stage rack layout and physical setup processes in data center deployment.Specialized chunkers by data typeLeverages purpose-built chunkers for tables, JSON, audio transcripts, video captions, and free-form text — ensuring each content type is split along semantically meaningful and retrieval-friendly boundaries.Context-preserving techniquesSupports sliding windows and overlap strategies to maintain coherence across chunk boundaries, improving downstream recall—ideal for domains requiring continuity (e.g., legal, technical docs).INDEXINGINDEXINGEmbedding and organizing for scalable searchAfter chunking, Ragie builds multiple layers of indexes to support fast, accurate, and context-aware retrieval across use cases.VectorKeywordSummaryVector indexing for semantic searchRagie transforms each content chunk into vector embeddings, enabling semantic search based on meaning rather than keyword match.Keyword Indexing for fast text-based retrievalExtracted keywords from each chunk are indexed to support lightweight, high-speed keyword-based querying.Summary indexing for high-level recallGenerates concise summaries for each document, enabling hierarchical search across a wide breadth of sources — ideal for high-level overviews or multi-document context.RETrIEVALRETRIEVALDelivering context-rich results for generationAt query time, Ragie intelligently retrieves the most relevant chunks from its multi-index system — providing grounded, high-quality context for your choice of LLM.Two-pass retrieval strategyCombines fast initial recall with an advanced precision re-ranker — filtering and reordering chunks based on semantic match, keyword signal, and summary relevance to deliver highly contextual retrievals.Context optimization for any LLMSelects and compresses top-ranked chunks to fit your model's input window — maximizing context density while preserving relevance, regardless of which LLM you choose.We’re here to helpWhether you have technical questions or specific RAG needs, get in touch with our team and see how Ragie can help you today.Build for freejoin our discord channel