troveGENIntellara Technologies
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Related Products
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About
Fetch Hive is a versatile Generative AI Collaboration Platform packed with features and values that enhance user experience and productivity:
Custom RAG Chat Agents: Users can create chat agents with retrieval-augmented generation, which improves response quality and relevance.
Centralized Data Storage: It provides a system for easily accessing and managing all necessary data for AI model training and deployment.
Real-Time Data Integration: By incorporating real-time data from Google Search, Fetch Hive enhances workflows with up-to-date information, boosting decision-making and productivity.
Generative AI Prompt Management: The platform helps in building and managing AI prompts, enabling users to refine and achieve desired outputs efficiently.
Fetch Hive is a comprehensive solution for those looking to develop and manage generative AI projects effectively, optimizing interactions with advanced features and streamlined workflows.
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About
troveGEN is a retrieval-augmented generation (RAG) and document-search platform for teams building AI products and organizations that need governed access to internal information. It ingests files, scanned documents, web pages and connected sources, then parses, OCRs, chunks, indexes and retrieves relevant passages with hybrid search, reranking, filters and access controls. Applications and AI agents can use its REST API, TypeScript SDK or Model Context Protocol server to search content and receive source-linked results; optional answer generation supports cited responses. Customers can use managed hosting or connect their own vector database, models and content sources, including air-gapped deployments. Use cases include internal knowledge search, customer support, technical documentation, and document workflows across finance, healthcare, legal and government.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Small Businesses, Startups, SMEs, Agencies, Marketing, SEO
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Audience
AI product developers and organizations that need searchable, governed access to unstructured documents and knowledge, including engineering, HR, legal, healthcare, and financial-services teams.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
$49/month
Free Version
Not Supported
Free Trial
Supported
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Pricing
$25/month
troveGEN-Z Launch costs $25/month and includes 1,500 pages, 8,000 searches, 1,500 answers, and two projects. Annual billing costs 10 times the monthly price. The one-time free trial includes 500 pages, 2,000 searches, and 200 answers. Sovereign deployments are quoted.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationFetch Hive
Founded: 2024
United Kingdom
fetchhive.com
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Company InformationIntellara Technologies
Founded: 2025
India
troveGEN.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
OpenAI
Supported
Amazon S3
Not Supported
Azure Blob Storage
Not Supported
Claude
Supported
Cohere
Not Supported
DataForSEO
Supported
Google Drive
Not Supported
Microsoft SharePoint
Not Supported
Model Context Protocol (MCP)
Not Supported
Pinecone
Not Supported
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Integrations
OpenAI
Supported
Amazon S3
Supported
Azure Blob Storage
Supported
Claude
Not Supported
Cohere
Supported
DataForSEO
Not Supported
Google Drive
Supported
Microsoft SharePoint
Supported
Model Context Protocol (MCP)
Supported
Pinecone
Supported
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