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Description
TILDE (Term Independent Likelihood moDEl) serves as a framework for passage re-ranking and expansion, utilizing BERT to boost retrieval effectiveness by merging sparse term matching with advanced contextual representations. The initial version of TILDE calculates term weights across the full BERT vocabulary, which can result in significantly large index sizes. To optimize this, TILDEv2 offers a more streamlined method by determining term weights solely for words found in expanded passages, leading to indexes that are 99% smaller compared to those generated by the original TILDE. This increased efficiency is made possible by employing TILDE as a model for passage expansion, where passages are augmented with top-k terms (such as the top 200) to enhance their overall content. Additionally, it includes scripts that facilitate the indexing of collections, the re-ranking of BM25 results, and the training of models on datasets like MS MARCO, thereby providing a comprehensive toolkit for improving information retrieval tasks. Ultimately, TILDEv2 represents a significant advancement in managing and optimizing passage retrieval systems.
Description
Takibi serves as a collaborative repository for AI agents where a human administrator categorizes documents into various projects and folders while managing access permissions through Profiles. Agents can access specific quoted excerpts along with a score indicating the strength of the evidence, using either the command line interface or application programming interface; however, Takibi itself does not provide generated responses. Additionally, the platform features agent Notes, which are considered untrusted and are limited to a 30-day lifespan, requiring human oversight for classification as Keep, Add to draft, or Remove, with options for draft export; these sources are not deemed reliable and are not shared between Profiles, and they are never automatically upgraded to trusted status. Furthermore, the workspace allows for agent-to-agent interactions through Conversations, includes task management with review options, and supports export in the Open Knowledge Format, facilitating comprehensive collaboration among users. This rich array of features is designed to enhance the efficiency and effectiveness of AI agents within the Takibi environment.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Hugging Face
No
Python
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
ielab
Country
United States
Website
github.com/ielab/TILDE/tree/main
Vendor Details
Company Name
Takibi
Website
takibibase.com