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    Progress Agentic RAG

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    Deployed on AWS
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    AWS Free Tier
    Unlock the power of your unstructured data with Progress Agentic RAG - a no-code, multilingual, agentic RAG platform that delivers traceable, verifiable AI search across documents, media, and systems.
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    Overview

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    Progress Agentic RAG is a SaaS-based Retrieval-Augmented Generation (RAG) platform designed to help organizations extract actionable insights from unstructured data - including documents, audio, video, and web content - using AI agents and modular pipelines.

    Whether you're a startup building internal search tools or an enterprise deploying AI copilots, Progress Agentic RAG offers:

    • Agentic RAG: Automate ingestion, retrieval, and reasoning with agents that classify, summarize, and extract knowledge.
    • Multimodal Indexing: Ingest and query any format - PDFs, videos, slides, emails - in any language.
    • LLM Flexibility: Choose the LLM that works best for your use case. Progress Agentic RAG integrates with all the leading enterprise LLMs on the market. Use our own instances or bring your own model API keys.
    • Traceable and Quality Outputs: Every answer is grounded in source data, with full transparency.
    • No-Code Deployment: Launch AI search pipelines without writing code or managing infrastructure.
    • Enterprise-Ready: Flexible LLM integration and private offers tailored to complex organizational needs.

    Progress Agentic RAG is ideal for teams in customer support, legal, product management, and business intelligence - helping them reduce manual effort, accelerate workflows, and unlock institutional knowledge.

    With every 'Fly' and 'Growth' subscription, you get up to 10,000 free LLM tokens per month, giving you immediate access to powerful RAG capabilities without additional usage fees. Start your free trial today.

    Highlights

    • Multilingual, No-Code AI Search: Build powerful RAG pipelines without writing code - across languages and formats.
    • Flexible Deployment: Full control over LLMs and data governance.
    • Traceable, Verifiable Results: Every AI-generated answer links back to its source for auditability and trust.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Free trial

    Try this product free according to the free trial terms set by the vendor.

    Progress Agentic RAG

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (2)

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    Dimension
    Description
    Cost/month
    Starter
    Ideal for teams exploring AI-powered search and retrieval. Fly offers search and chatbot capabilities for MVPs and internal tools, with 10GB of indexed data, core RAG/Q&A features and up to 10,000 free tokens per month.
    $700.00
    Pro
    Built for growing organizations that need more data capacity, integrations and AI capabilities. Growth offers advanced support and classification use cases with up to 50GB of indexed data, expanded AI capabilities, additional embedded models and up to 10,000 free tokens per month.
    $1,925.00

    Additional usage costs (1)

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    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Description
    Cost/unit
    Units of usage tokens for AI searches and LLM consumption
    Units of usage tokens for AI searches and LLMs. Billing begins after free monthly tokens.
    $0.008

    Vendor refund policy

    Payments are non-cancellable and non-refundable unless expressly stated. Prices are exclusive of any taxes, duties, or any government assessment and we do not provide refunds or credits for any partial or unused functionalities, unless otherwise stated.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

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    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Ratings and reviews

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    2 external reviews
    External reviews are from G2 .
    Consumer Goods

    Best RAG as a Service out there, with an exceptional team behind it

    Reviewed on Apr 21, 2026
    Review provided by G2
    What do you like best about the product?
    I find Progress Agentic RAG to be a truly great solution that works extremely well. It offers plenty of different options that can adapt to any use case, and it works out of the box very well, already delivering great results. Plus, if you want to go deeper, you can definitely improve your particular needs by fine-tuning the model even further to improve specific things you need in your use case. The support from the Progress team is fantastic. They have been helping us immensely in setting things up, taking the right architectural decisions and sharing their knowledge on how to approach certain use cases. They have been Invaluable to get up immediately up to speed and get immediate results.
    What do you dislike about the product?
    Maybe adding a bit more options into the visibility of what users are doing, what they are struggling with, and what problems they're facing. That can maybe help to have a better user experience for people administering the platform.
    What problems is the product solving and how is that benefiting you?
    I use Progress Agentic RAG for all my company’s use cases involving documents, videos, and PDFs. It provides multiple options to adapt to different needs and works out of the box, consistently delivering great results. It’s also worth mentioning the new SharePoint connector, which helps us push documents to Progress Agentic RAG effortlessly.
    Piyush K.

    Intuitive, Feature-Rich Solution with Room for Log Improvements

    Reviewed on Apr 21, 2026
    Review provided by G2
    What do you like best about the product?
    I think Progress Agentic RAG is very intuitive and centered around one main job: providing the best answer for questions asked on documents in the knowledge base. I don't have to worry about what reranking method to use, or embedding models, or the chunking strategy—it's all handled for me, giving the right answer. There are also various features around ingestion and retrieval that I like, such as a summarizer that summarizes documents, a question-answer tagger, different tagging mechanisms, and labels. A lot can be done during ingestion with multiple features available.
    What do you dislike about the product?
    I think one small thing is having to get event-based evaluations of each interaction. You can't query those logs via an API; you have to download the whole month's log. I think that's the only thing that's not so great, but the rest of it is absolutely fabulous.
    What problems is the product solving and how is that benefiting you?
    I use Progress Agentic RAG for different use cases, like HR. It intuitively answers questions from documents, handling technicalities like embedding and chunking. The features are robust with ingestion and retrieval tools, summarizing documents and tagging effectively.
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