Source proof for OMV drives eco-innovation in the energy sector with a RAG chatbot on Databricks

Driving eco-innovation in the energy sector for a cleaner future | Databricks Skip to main content Login Why Databricks Discover For App Develop…

…ing AI Search endpoints, Model Serving endpoints and data ingestion pipelines.” OMV developed a retrieval augmented generation (RAG) chatbot using the Agent Bricks Custom Agents. Depending on the number of users and system demand, OMV primarily utilized eith…

…can easily manage 100,000 pages of regulatory documents, in multiple languages. Databricks tools have helped OMV cut document and web search times by 20% and reduce the time to incrementally add more documents. Additionally, OMV experienced a 20–25x reduction in cost for their vector searc…

…s by 20% and reduce the time to incrementally add more documents. Additionally, OMV experienced a 20–25x reduction in cost for their vector search tools. In addition to improving OMV’s operational efficiency, Databricks has helped OM…

…g regulatory information Up to 25x Reduction in overall employee training costs Headquartered in Vienna, OMV is on a transformative journey to become an integrated sustainable chemicals, fuels and energy company with a strong emphasis on circular economy solutions. Central to this mission is sustainable product development, which aims to minim…

…g regulatory information Up to 25x Reduction in overall employee training costs Headquartered in Vienna, OMV is on a transformative journey to become an integrated sustainable chemicals, fuels and energy company with a strong emphasis on circular economy solutions. Central to this mission is sustainable product development, which aims to minim…

…beneficial for our team and the entire business unit.” Share this post Details Industry : Energy , Industrials Use Case : Artificial Intelligence Product : Agent Bricks , Unity Catalog Ready…

…nability initiatives. Harisyam Manda, Senior Data Scientist at OMV, explained, “Our business wanted faster access to knowledge and a smoother way to synthesize huge amounts of text and tabular data related to rules and regulations from the EU — that was our initial problem statement.” Compounding these data discoverability challenges, OMV struggled to build effi…

…team in gaining access to the latest EU regulations and product certifications, the team was hampered by a poor efficiency-to-cost ratio. These constraints, paired with the high costs of overusing vector search units…

…to process vast amounts of data and integrate Databricks tools like AI Search. OMV’s batch ingestion pipeline now utilized BAAI’s BGE M3 model for multilingual embeddings, ensuring that the data processing could handle the complexities of multiple la…

…ing AI Search endpoints, Model Serving endpoints and data ingestion pipelines.” OMV developed a retrieval augmented generation (RAG) chatbot using the Agent Bricks Custom Agents. Depending on the number of users and system demand, OMV primarily utilized eith…

…their new objectives. To further optimize data workflows and maintain security, OMV used Unity Catalog to manage access control and data security. This tool was particularly important for the new internal tools, like the agent…

…can easily manage 100,000 pages of regulatory documents, in multiple languages. Databricks tools have helped OMV cut document and web search times by 20% and reduce the time to incrementally add more documents. Additionally, OMV experienced a 20–25x reduction in cost for their vector searc…

…s by 20% and reduce the time to incrementally add more documents. Additionally, OMV experienced a 20–25x reduction in cost for their vector search tools. In addition to improving OMV’s operational efficiency, Databricks has helped OM…

…ing AI Search endpoints, Model Serving endpoints and data ingestion pipelines.” OMV developed a retrieval augmented generation (RAG) chatbot using the Agent Bricks Custom Agents. Depending on the number of users and system demand, OMV primarily utilized eith…

…post Details Industry : Energy , Industrials Use Case : Artificial Intelligence Product : Agent Bricks , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…

…dexing 100,000 pages of regulatory and internal documents. Harisyam confirmed, “Databricks significantly facilitated the development of our generative AI solutions by providing AI Search endpoints, Model Serving endpoints and data ingestion pipelines.” OMV developed a retrieval augmented generation (RAG) chatbot using the Agent B…

…dexing 100,000 pages of regulatory and internal documents. Harisyam confirmed, “Databricks significantly facilitated the development of our generative AI solutions by providing AI Search endpoints, Model Serving endpoints and data ingestion pipelines.” OMV developed a retrieval augmented generation (RAG) chatbot using the Agent B…

…CUSTOMER STORY Driving eco-innovation in the energy sector for a cleaner future Up to 20% Reduction in time to get the latest product information and corresponding regulatory information Up to 25x Reduction in overall employee training costs Headquartered in Vienna,…

…nd management of scalable, secure and production-ready machine learning models. The RAG agent was also equipped with tools to minimize manual web searches and streamline the search for new regulatory information. Integrating various open source AI models into their operational workflows was…