troveGEN

troveGEN

Intellara Technologies
txtai

txtai

NeuML
+
+

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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.

About

txtai is an all-in-one open source embeddings database designed for semantic search, large language model orchestration, and language model workflows. It unifies vector indexes (both sparse and dense), graph networks, and relational databases, providing a robust foundation for vector search and serving as a powerful knowledge source for LLM applications. With txtai, users can build autonomous agents, implement retrieval augmented generation processes, and develop multi-modal workflows. Key features include vector search with SQL support, object storage integration, topic modeling, graph analysis, and multimodal indexing capabilities. It supports the creation of embeddings for various data types, including text, documents, audio, images, and video. Additionally, txtai offers pipelines powered by language models that handle tasks such as LLM prompting, question-answering, labeling, transcription, translation, and summarization.

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

Platforms Supported

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

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.

Audience

Developers and data engineers requiring a solution to implement semantic search, orchestrate large language models, and build complex language model workflows

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 Supported

API

Offers API Supported

Screenshots and Videos

No images available

Screenshots and Videos

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

Pricing

Free
Free Version Supported
Free Trial Not 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

Intellara Technologies
Founded: 2025
India
troveGEN.com

Company Information

NeuML
United States
neuml.github.io/txtai/

Alternatives

No Alternatives

Alternatives

Voyage AI

Voyage AI

MongoDB

Categories

Categories

Embedding Models Supported
Semantic Search Supported
Vector Databases Supported

Integrations

AWS Lambda Not Supported
Amazon S3 Supported
Azure Blob Storage Supported
Docker Not Supported
FastAPI Not Supported
Go Not Supported
Google Drive Supported
Hugging Face Not Supported
Java Not Supported
JavaScript Not Supported
Knative Not Supported
Microsoft SharePoint Supported
OpenAI Supported
Pinecone Supported
Python Not Supported
Qdrant Supported
Rust Not Supported
SQL Not Supported
YAML Not Supported
pgvector Supported

Integrations

AWS Lambda Supported
Amazon S3 Not Supported
Azure Blob Storage Not Supported
Docker Supported
FastAPI Supported
Go Supported
Google Drive Not Supported
Hugging Face Supported
Java Supported
JavaScript Supported
Knative Supported
Microsoft SharePoint Not Supported
OpenAI Not Supported
Pinecone Not Supported
Python Supported
Qdrant Not Supported
Rust Supported
SQL Supported
YAML Supported
pgvector Not Supported
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