ColBERTFuture Data Systems
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troveGENIntellara Technologies
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Related Products
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About
ColBERT is a fast and accurate retrieval model, enabling scalable BERT-based search over large text collections in tens of milliseconds. It relies on fine-grained contextual late interaction: it encodes each passage into a matrix of token-level embeddings. At search time, it embeds every query into another matrix and efficiently finds passages that contextually match the query using scalable vector-similarity (MaxSim) operators. These rich interactions allow ColBERT to surpass the quality of single-vector representation models while scaling efficiently to large corpora. The toolkit includes components for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. ColBERT integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts.
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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
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Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
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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
Academic researchers and developers seeking a tool for implementing and evaluating listwise reranking with large language models
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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
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24/7 Live Support
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Online
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Support
Phone Support
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24/7 Live Support
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Online
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API
Offers API
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API
Offers API
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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
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Live Online
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In Person
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Training
Documentation
Supported
Webinars
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Live Online
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In Person
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Company InformationFuture Data Systems
United States
github.com/stanford-futuredata/ColBERT
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Company InformationIntellara Technologies
Founded: 2025
India
troveGEN.com
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Alternatives |
AlternativesNo Alternatives
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Categories |
Categories |
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Integrations
Amazon S3
Not Supported
Azure Blob Storage
Not Supported
Cohere
Not Supported
Google Drive
Not Supported
Microsoft SharePoint
Not Supported
Model Context Protocol (MCP)
Not Supported
OpenAI
Not Supported
Pinecone
Not Supported
Qdrant
Not Supported
pgvector
Not Supported
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Integrations
Amazon S3
Supported
Azure Blob Storage
Supported
Cohere
Supported
Google Drive
Supported
Microsoft SharePoint
Supported
Model Context Protocol (MCP)
Supported
OpenAI
Supported
Pinecone
Supported
Qdrant
Supported
pgvector
Supported
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