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Average Ratings 0 Ratings

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features
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support

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Description

Accurez serves as a private, self-hosted AI knowledge base tailored for business teams seeking immediate and reliable responses derived from their internal documents. Operating on your own infrastructure, it utilizes Docker along with Postgres, Qdrant, and Redis for seamless integration. Users can select their preferred LLM provider, whether by utilizing OpenAI-compatible APIs or deploying a local model through Ollama for those requiring air-gapped solutions. Each response is accompanied by the original source document, featuring chunk-level excerpts and a confidence rating classified as High, Moderate, or Low. To ensure accuracy, grounding validation is implemented to minimize the risk of unverified information reaching your team. Notable characteristics include private self-hosted deployment, source citations, confidence ratings, a hybrid semantic search system combining BM25 and vector techniques, scoped AI assistants, analytics for coverage, support for multi-source ingestion from formats such as PDF, Markdown, Google Drive, Notion, and URLs, as well as an embeddable widget and a public help center. Additionally, it supports local AI capabilities via Ollama, audit logging, and customizable platform branding. This solution requires a one-time payment, eliminating the need for subscriptions or per-seat fees, and has been developed by RadicalStart since 2016, reflecting a commitment to evolving business needs.

Description

troveGEN serves as a platform for retrieval-augmented generation (RAG) and document search, specifically designed for teams developing AI products and organizations that require controlled access to their internal data. The system can process a variety of inputs such as files, scanned documents, and web pages, after which it efficiently parses, applies optical character recognition (OCR), chunks, indexes, and retrieves pertinent excerpts using hybrid search methods, reranking, filters, and access controls. Users can leverage its REST API, TypeScript SDK, or Model Context Protocol server for searching content and obtaining results that are linked to their sources; it also offers optional answer generation that provides cited responses. Customers have the flexibility to choose between managed hosting or integrating their own vector databases, models, and content sources, even supporting air-gapped deployments for enhanced security. Potential applications encompass internal knowledge searches, customer support solutions, management of technical documentation, and streamlining document workflows across various sectors including finance, healthcare, legal, and government. Overall, troveGEN enhances information retrieval and management while ensuring compliance and governance for sensitive data.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

No images available

Integrations

Amazon S3 No 
Azure Blob Storage No 
Cohere No 
Google Drive No 
Microsoft SharePoint No 
Model Context Protocol (MCP) No 
OpenAI No 
Pinecone No 
Qdrant No 
pgvector No 

Integrations

Amazon S3 Yes 
Azure Blob Storage Yes 
Cohere Yes 
Google Drive Yes 
Microsoft SharePoint Yes 
Model Context Protocol (MCP) Yes 
OpenAI Yes 
Pinecone Yes 
Qdrant Yes 
pgvector Yes 

Pricing Details

$0
Free Trial Yes 
Free Version No 

Pricing Details

$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 Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Accurez

Founded

2026

Country

United States

Website

www.accurez.ai/

Vendor Details

Company Name

Intellara Technologies

Founded

2025

Country

India

Website

troveGEN.com

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