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features
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support

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Description

Arcmira serves as a media intelligence and transcript search tool that enables users to explore what is said in indexed YouTube videos and podcasts. The platform allows for the searching of spoken segments, examination of timestamped source links, identification of individuals and organizations, tracking of mentions and appearances, monitoring of topics, and assessment of sponsorship or recommendation signals. For users needing more detailed transcripts, premium options are available that include speaker attribution and coverage for recordings lacking usable captions. Developers can integrate the service through various means, including an HTTP/JSON API, TypeScript and Python SDKs, a command-line interface, and a remote MCP server specifically for AI agents. Arcmira is tailored for developers, researchers, creators, and teams who require source-linked evidence from extensive media. Additionally, it’s important to verify automated classifications and speaker identifications by referencing the original recordings to ensure accuracy. This commitment to precision makes Arcmira a vital tool for those engaged in thorough media analysis.

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.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

ChatGPT Yes 
Claude Yes 
Cursor Yes 
Hugging Face No 
Model Context Protocol (MCP) Yes 
Python No 
Slack Yes 

Integrations

ChatGPT No 
Claude No 
Cursor No 
Hugging Face Yes 
Model Context Protocol (MCP) No 
Python Yes 
Slack No 

Pricing Details

$20/month
Free plan: $0/month with limited Search and API usage. Pro: $20/month; Pro+: $60/month; Ultra: $200/month; Enterprise: custom pricing. Annual billing is 20% less when 12 months are paid upfront. New subscribers can try Pro for 7 days with a card; it converts to $20/month unless canceled. Plans include monthly usage allowances, and on-demand usage can be enabled with a user-set spend cap.
Free Trial Yes 
Free Version Yes 

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 No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Arcmira, Inc.

Country

United States

Website

arcmira.com

Vendor Details

Company Name

ielab

Country

United States

Website

github.com/ielab/TILDE/tree/main

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Product Features

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