ColBERT

ColBERT

Future Data Systems
Mu

Mu

Microsoft
+
+

Related Products

  • Gemini Enterprise Agent Platform
    967 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Guardz
    124 Ratings
    Visit Website
  • LogicalDOC
    144 Ratings
    Visit Website
  • KrakenD
    71 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Statseeker
    35 Ratings
    Visit Website
  • Criminal IP
    17 Ratings
    Visit Website
  • NINJIO
    416 Ratings
    Visit Website
  • Azore CFD
    24 Ratings
    Visit Website

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.

About

Mu is a 330-million-parameter encoder–decoder language model designed to power the agent in Windows settings by mapping natural-language queries to Settings function calls, running fully on-device via NPUs at over 100 tokens per second while maintaining high accuracy. Drawing on Phi Silica optimizations, Mu’s encoder–decoder architecture reuses a fixed-length latent representation to cut computation and memory overhead, yielding 47 percent lower first-token latency and 4.7× higher decoding speed on Qualcomm Hexagon NPUs compared to similar decoder-only models. Hardware-aware tuning, including a 2/3–1/3 encoder–decoder parameter split, weight sharing between input and output embeddings, Dual LayerNorm, rotary positional embeddings, and grouped-query attention, enables fast inference at over 200 tokens per second on devices like Surface Laptop 7 and sub-500 ms response times for settings queries.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Academic researchers and developers seeking a tool for implementing and evaluating listwise reranking with large language models

Audience

Developers seeking a solution to navigate and configure system settings through natural language

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Future Data Systems
United States
github.com/stanford-futuredata/ColBERT

Company Information

Microsoft
Founded: 1975
United States
blogs.windows.com/windowsexperience/2025/06/23/introducing-mu-language-model-and-how-it-enabled-the-agent-in-windows-settings/

Alternatives

TILDE

TILDE

ielab

Alternatives

CodeT5

CodeT5

Salesforce
RankLLM

RankLLM

Castorini
GLM-OCR

GLM-OCR

Z.ai
RankGPT

RankGPT

Weiwei Sun
BERT

BERT

Google
RoBERTa

RoBERTa

Meta
Uni-1

Uni-1

Luma AI

Categories

Categories

Integrations

No info available.

Integrations

No info available.
Claim ColBERT and update features and information
Claim ColBERT and update features and information
Claim Mu and update features and information
Claim Mu and update features and information