nuclia
Nuclia, now Progress Agentic RAG, is a self-service SaaS platform offering trustworthy and verifiable generative AI through Retrieval-Augmented Generation (RAG) technology, enabling organizations to unlock insights from unstructured data with AI search, generative answers, and customizable AI capabilities.
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nuclia
Nuclia, rebranded as Progress Agentic RAG, is a leading platform designed to provide reliable and scalable retrieval functionalities for AI Agents using Retrieval-Augmented Generation (RAG). It enables organizations to transform unstructured data into actionable knowledge by delivering AI search and generative answers in any language and from any data source. The platform supports customization of AI classification, document summarization, LLMs, prompts, and Named Entity Recognition, making it suitable for diverse industries and use cases. Nuclia emphasizes data governance, security, and privacy, offering deployment options including cloud, hybrid, and on-premise to meet organizational needs.
Agentic RAG-as-a-Service platform indexing unstructured data for AI search and generative answers.
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Claim this listingKey Features
Agentic RAG-as-a-Service
A self-service SaaS product that delivers trustworthy and verifiable generative AI outputs using RAG technology.
AI Agents for RAG
Seamless deployment of AI Agents with reliable and scalable retrieval functionalities tailored for RAG.
Modular RAG Pipeline
Customizable RAG pipeline including AI classification, document summarization, LLM selection, prompt definition, and Named Entity Recognition.
RAG Quality Metrics (REMi)
Built-in metrics to evaluate the performance of RAG pipelines across all queries submitted to the Knowledge Box.
NucliaDB
An open-source AI search database that stores data in isolated instances, ensuring 100% data governance and security.
Multi-Deployment Options
Flexible deployment in Nuclia’s cloud, hybrid mode, or fully on-premise to meet security and compliance requirements.
Video & Audio Indexing
Automatic speech-to-text processing and indexing of video and audio content for searchable knowledge extraction.
Multi-language Support
Supports AI search and generative answers in any language from any data source.
Pricing
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Use Cases
AI Search and Generative Answers for Unstructured Data
Automate AI-powered search and generate trusted answers from unstructured data across multiple languages and sources.
Customer and Employee Support
Deploy conversational AI bots that answer questions based on organizational knowledge to improve support efficiency.
Video and Audio Content Indexing
Process and index multimedia content to enable search and retrieval of information embedded in audio and video files.
AI Knowledge Hub
Centralize and access RAG, AI search, and generative answers with customizable AI capabilities for enhanced knowledge management.
Integrations
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Benefits
Limitations
Frequently Asked Questions
What is Retrieval-Augmented Generation (RAG)?
Can Nuclia be deployed on-premise?
Does Nuclia support multiple languages?
What is NucliaDB?
How does Nuclia ensure data privacy and security?
Getting Started
- 1 Step 1: Sign up for the Nuclia platform or book a demo to explore features.
- 2 Step 2: Ingest your unstructured data into NucliaDB, either via cloud, hybrid, or on-premise deployment.
- 3 Step 3: Customize your RAG pipeline including AI classification, summarization, and retrieval strategies.
- 4 Step 4: Deploy AI Agents or integrate AI search and generative answers into your applications using API or no-code widgets.
- 5 Step 5: Monitor RAG quality metrics and optimize your AI workflows.
Support
Documentation
Comprehensive documentation available on the Nuclia website.
Webinars and Training
Regular webinars, RAG Academy, and training sessions to help users maximize platform capabilities.
Community
Access to community forums and case studies for peer support and knowledge sharing.
Contact
Direct contact via the website for demos, sales, and technical support.
API
API documentation is available on the Nuclia website, enabling integration of AI search and generative answers into applications.
Rate limit information is not publicly disclosed.
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