troveGEN

troveGEN

Intellara Technologies
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About

Local and secure AI on your desktop, ensuring comprehensive insights with complete data security and privacy. Experience unparalleled efficiency, privacy, and intelligence with our cutting-edge macOS-native app and advanced AI features. RAG can utilize data from a local knowledge base to supplement the large language model (LLM). This means you can keep sensitive data on-premises while leveraging it to enhance the model‘s response capabilities. To implement RAG locally, you first need to segment documents into smaller chunks and then encode these chunks into vectors, storing them in a vector database. These vectorized data will be used for subsequent retrieval processes. When a user query is received, the system retrieves the most relevant chunks from the local knowledge base and inputs these chunks along with the original query into the LLM to generate the final response. We promise lifetime free access for individual users.

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.

Platforms Supported

Windows Not Supported
Mac Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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

Audience

Enterprises and individuals requiring a tool to search, integrate, and display their local files and knowledge base

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.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

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

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Klee
kleedesktop.com

Company Information

Intellara Technologies
Founded: 2025
India
troveGEN.com

Alternatives

Azure AI Search

Azure AI Search

Microsoft

Alternatives

No Alternatives

Categories

Categories

Integrations

OpenAI Supported
Codestral Supported
Cohere Not Supported
Google Drive Not Supported
Hugging Face Supported
LangChain Supported
Llama 2 Supported
Llama 3 Supported
Llama 3.1 Supported
Llama 3.2 Supported
Mathstral Supported
Meta Pixel Supported
Microsoft SharePoint Not Supported
Mistral AI Supported
Model Context Protocol (MCP) Not Supported
Pinecone Not Supported
Pixtral Large Supported
Qdrant Not Supported
Swift Supported

Integrations

OpenAI Supported
Codestral Not Supported
Cohere Supported
Google Drive Supported
Hugging Face Not Supported
LangChain Not Supported
Llama 2 Not Supported
Llama 3 Not Supported
Llama 3.1 Not Supported
Llama 3.2 Not Supported
Mathstral Not Supported
Meta Pixel Not Supported
Microsoft SharePoint Supported
Mistral AI Not Supported
Model Context Protocol (MCP) Supported
Pinecone Supported
Pixtral Large Not Supported
Qdrant Supported
Swift Not Supported
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