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Powering Arabic NLQA with OpenText Knowledge Discovery and Meta's Llama-3.2-11B-Vision-Instruct-Turbo

by   in Data Analytics

A recent demonstration of the synergy between OpenText Knowledge Discovery and Meta's Llama-3.2-11B-Vision-Instruct-Turbo, especially for Arabic-language NLQA!

OpenText Knowledge Discovery is showcased in action, demonstrating its advanced capabilities in handling Arabic-language queries

In the image, OpenText Knowledge Discovery is showcased in action, demonstrating its advanced capabilities in handling Arabic-language queries. Here, it answers a question about the role of the Central Bank of Kuwait in monitoring local banks. To achieve this, we indexed content from the Central Bank of Kuwait’s website, allowing us to leverage both structured and unstructured data directly from this official source.

By doing so, we ensure that responses are accurate, up-to-date, and based on the bank’s own documented policies and reports. This process not only provides users with precise answers but also includes links to detailed resources for deeper exploration, making it an invaluable tool for accessing and understanding complex regulatory information in Arabic.

What’s Happening?

  1. Question Asked in Arabic: "ما هو دور بنك الكويت المركزي في مراقبة البنوك المحلية؟"
    • (What is the role of the Central Bank of Kuwait in monitoring local banks?)
  2. Instant Answer & Sources: OpenText Knowledge Discovery quickly retrieves an accurate answer: "يتضح دور بنك الكويت المركزي في البنوك المحلية من خلال تطبيق قواعد ونظم الحوكمة"
    • (It clarifies the role of the Central Bank of Kuwait in applying governance rules and enhancing stability).
  3. Relevant Documents: The platform surfaces relevant documents and links, providing users with instant access to authoritative sources, such as official PDF reports from the Central Bank of Kuwait.

With Meta's Llama-3.2-11B-Vision-Instruct-Turbo powering deep language understanding, this solution bridges the gap for Arabic-speaking users in need of advanced natural language querying. The result is a powerful, user-friendly search experience in Knowledge Discovery, tapping into extensive databases and media sources, delivering actionable insights in seconds.

Why This Matters: The integration of advanced AI models like Llama-3.2-11B with Knowledge Discovery expands our ability to handle Arabic NLP tasks, making critical information accessible to Arabic-speaking professionals and institutions. It's a leap forward for digital transformation in Arabic markets, bringing efficiency and depth to information retrieval and enterprise search.

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More Information 

Learn more about what Unstructured Data Analytics can do for you.

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The OpenText Content Services team

Cover Photo by Zeki Okur on Unsplash

Labels:

IDOL
Unstructured Data Analytics
Knowledge Discovery
AI Content Management