ColBERTFuture Data Systems
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T-NEX ChatbotT-NEX
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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
T-NEX Chatbot is a company knowledge assistant tailored to answer recurring questions from approved business content. It can retrieve maintained answers and show their recorded source references, or add a separately scoped retrieval-augmented generation (RAG) function that composes responses from relevant document passages. The solution can include an interface for authorised staff to create, edit and categorise knowledge entries, with source documents and ownership maintained alongside answers. It is designed for internal employee questions or defined customer-service information, such as work instructions, internal processes and service offerings. Project setup can define content permissions, treatment of unanswered questions, human handover, and evaluation against a question set before expanding sources or users. The language model is optional; data, access and conversation handling are tailored to the use case.
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Platforms Supported
Windows
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Mac
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Linux
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Cloud
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On-Premises
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iPhone
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iPad
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Android
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Chromebook
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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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Audience
Academic researchers and developers seeking a tool for implementing and evaluating listwise reranking with large language models
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Audience
SMEs, startups and industry
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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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API
Offers API
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API
Offers API
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Screenshots and VideosNo images available
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Pricing
Free
Free Version
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Free Trial
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Pricing
No information available.
Free Version
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Reviews/
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Training
Documentation
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Webinars
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Live Online
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In Person
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Training
Documentation
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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 InformationT-NEX
Founded: 2024
Germany
t-nex.de/en/companies/products/ai-chatbot/
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Integrations
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