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Italiano(IT) Un RAG in locale con MariaDB 11.8 come vector database. I modelli girano su Ollama e i documenti restano in casa. Per un DBA la parte più familiare è proprio il

MariaDB 11.8 powers local RAG system with Ollama models

By PulseAugur Editorial · [1 sources] ·

A local Retrieval-Augmented Generation (RAG) system has been developed using MariaDB 11.8 as a vector database. The system runs AI models via Ollama, keeping documents on-premises for enhanced privacy. This setup is particularly accessible for Database Administrators due to its familiar database components. AI

IMPACT Enables localized, privacy-preserving AI applications by leveraging familiar database infrastructure.

RANK_REASON The cluster describes a specific implementation of AI tooling, rather than a core AI release or significant industry event.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

MariaDB 11.8 powers local RAG system with Ollama models

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8 / 100
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Tool
The cluster describes a specific implementation of AI tooling, rather than a core AI release or significant industry event.
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infra, product
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Italiano(IT) · [email protected] ·

    An in-house RAG with MariaDB 11.8 as a vector database. Models run on Ollama and documents stay in-house. For a DBA, the most familiar part is precisely the

    Un RAG in locale con MariaDB 11.8 come vector database. I modelli girano su Ollama e i documenti restano in casa. Per un DBA la parte più familiare è proprio il database. Il link al lab è nel primo commento. # MariaDB # AI

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