troveGENIntellara Technologies
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Related Products
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About
Morphik is an open source, multimodal Retrieval-Augmented Generation (RAG) platform designed to streamline AI applications over complex, visually rich documents. Unlike traditional RAG systems that falter with non-textual data, Morphik embeds entire pages, including diagrams, tables, and images, directly into its knowledge base, ensuring no context is lost during processing. This approach enables precise search and retrieval across diverse document types such as research papers, technical manuals, and scanned PDFs. Morphik's capabilities include visual-first retrieval, knowledge graph construction, and seamless integration with enterprise data sources through its REST API and SDKs. Its natural language rules engine allows users to define how data is ingested and queried, while persistent KV-caching optimizes performance by reducing redundant computations. Morphik supports the Model Context Protocol (MCP), facilitating direct access for AI assistants.
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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
Engineers and researchers who need a tool to extract and analyze information from complex, multimodal documents
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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
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
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
Free
Free Version
Supported
Free Trial
Not 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
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationMorphik
United States
www.morphik.ai/
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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
Amazon S3
Not Supported
Azure Blob Storage
Not Supported
Claude
Supported
Claude for Legal
Supported
Cohere
Not Supported
Google Drive
Not Supported
Microsoft SharePoint
Not Supported
Model Context Protocol (MCP)
Not Supported
OpenAI
Not Supported
Pinecone
Not Supported
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Integrations
Amazon S3
Supported
Azure Blob Storage
Supported
Claude
Not Supported
Claude for Legal
Not Supported
Cohere
Supported
Google Drive
Supported
Microsoft SharePoint
Supported
Model Context Protocol (MCP)
Supported
OpenAI
Supported
Pinecone
Supported
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