Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    967 Ratings
    Company Website
  • Couchbase Reviews & Ratings
    405 Ratings
    Company Website
  • Retool Reviews & Ratings
    577 Ratings
    Company Website
  • Bright Data Reviews & Ratings
    1,388 Ratings
    Company Website
  • Denodo Reviews & Ratings
    387 Ratings
    Company Website
  • AlisQI Reviews & Ratings
    96 Ratings
    Company Website
  • Devin Desktop Reviews & Ratings
    171 Ratings
    Company Website
  • Concord Reviews & Ratings
    237 Ratings
    Company Website
  • Creatio Reviews & Ratings
    524 Ratings
    Company Website

What is Progress Agentic RAG?

Progress Agentic RAG is a Software as a Service (SaaS) solution that significantly improves Retrieval-Augmented Generation by automatically organizing, searching, and generating AI-driven insights from various forms of business information, including documents, emails, videos, and presentations. This platform effectively integrates RAG with intelligent workflows capable of reasoning, classification, summarization, and inquiry response, all while delivering traceable and verifiable results, eliminating the need for users to construct or oversee their own RAG framework. Its modular design functions as a no-code RAG-as-a-Service, promoting AI readiness in organizations by enabling the extraction of contextual intelligence and business insights through natural language queries, with an emphasis on quality-focused output metrics. Additionally, it effortlessly connects with any prominent Large Language Model (LLM) and supports multilingual and multimodal content for effective indexing and retrieval. Among its notable features are AI-driven summarization and classification, the ability to generate question-and-answer pairs from enterprise data, and a Prompt Lab facilitating the testing of LLM behavior with tailored prompts. The platform is also created to improve user experience by streamlining intricate tasks, thus ensuring that organizations can unlock the full potential of their data with ease. Ultimately, Progress Agentic RAG empowers businesses to harness their information effectively, driving insightful decision-making and operational efficiency.

What is BGE?

BGE, or BAAI General Embedding, functions as a comprehensive toolkit designed to enhance search performance and support Retrieval-Augmented Generation (RAG) applications. It includes features for model inference, evaluation, and fine-tuning of both embedding models and rerankers, facilitating the development of advanced information retrieval systems. Among its key components are embedders and rerankers, which can seamlessly integrate into RAG workflows, leading to marked improvements in the relevance and accuracy of search outputs. BGE supports a range of retrieval strategies, such as dense retrieval, multi-vector retrieval, and sparse retrieval, which enables it to adjust to various data types and retrieval scenarios. Users can conveniently access these models through platforms like Hugging Face, and the toolkit provides an array of tutorials and APIs for efficient implementation and customization of retrieval systems. By leveraging BGE, developers can create resilient and high-performance search solutions tailored to their specific needs, ultimately enhancing the overall user experience and satisfaction. Additionally, the inherent flexibility of BGE guarantees its capability to adapt to new technologies and methodologies as they emerge within the data retrieval field, ensuring its continued relevance and effectiveness. This adaptability not only meets current demands but also anticipates future trends in information retrieval.

Media

Media

Integrations Supported

Amazon
Amazon S3
Baseten
Claude
Dropbox
GPT-4o
GPT-4o mini
Gemini
Gemini 2.5 Flash
Google Drive
Hugging Face
Jira
Microsoft Azure
Microsoft SharePoint
Mistral AI
Nebius Token Factory
OpenAI
Slack
Zendesk

Integrations Supported

Amazon
Amazon S3
Baseten
Claude
Dropbox
GPT-4o
GPT-4o mini
Gemini
Gemini 2.5 Flash
Google Drive
Hugging Face
Jira
Microsoft Azure
Microsoft SharePoint
Mistral AI
Nebius Token Factory
OpenAI
Slack
Zendesk

API Availability

Has API

API Availability

Has API

Pricing Information

$700 per month
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Progress Software

Company Location

United States

Company Website

www.progress.com/agentic-rag

Company Facts

Organization Name

BGE

Date Founded

2025

Company Location

United States

Company Website

bge-model.com/Introduction/index.html

Categories and Features

Popular Alternatives

LM-Kit.NET Reviews & Ratings

LM-Kit.NET

LM-Kit

Popular Alternatives

Voyage AI Reviews & Ratings

Voyage AI

MongoDB
Azure AI Search Reviews & Ratings

Azure AI Search

Microsoft