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Title
Hawaiian Electric builds a RAG chatbot on Databricks to answer regulatory compliance queries in seconds
…ian Electric Company CUSTOMER STORY Maintaining regulatory compliance with ease 5 seconds Time spent individually querying regulatory documents — down from five minutes 2 weeks Implementation time to go from zero to RAG Hawaiian Electric Company (H…
Description
Hawaiian Electric Company (HECO) worked with Databricks Professional Services to build a retrieval augmented generation proof of concept using Databricks AI Search and a RAG model-serving endpoint, letting its regulatory team query extensive regulatory documentation through a conversational chatbot instead of manually reading full texts. The implementation took two weeks to go from zero to a working RAG system and cut the time to answer a single regulatory query from about five minutes to five seconds.
…s AI Search , a highly performant serverless database with governance built in. In just two weeks, Databricks took HECO from square one to a RAG POC. “The actual implementation went pretty quickly, largely due to the excellence o…
Company
Hawaiian Electric Company
…nts — down from five minutes 2 weeks Implementation time to go from zero to RAG Hawaiian Electric Company (HECO) seeks to create a green Hawaii, providing communities with reliable and renewable energy. The utility company faced operational inefficiencies due to the time-consuming…
Industry
Energy
…ricks Data + AI Platform leveraging the Azure infrastructure .” Share this post Details Industry : Energy , Public Sector Cloud : Azure Product : Agent Bricks , Spark Declarative Pipelines , Unity Cata…
Problem
HECO's regulatory team had to manually sift through a vast trove of regulatory documentation, searching for relevant documents and reading through entire texts to answer information requests, a repetitive and time-consuming process that hindered the team's ability to respond quickly and at scale.
…of manually sifting through these documents was repetitive and time-consuming. This process required HECO’s regulatory team to not only search for the relevant documentation but also to read through the entire text to get answers, hindering their ability to respond to information requests quickly and at scale. Joel Wasson, Manager of Enterprise Data and Analytics at HECO, described the sc…
Solution
HECO partnered with Databricks Professional Services to build a RAG model proof of concept, setting up a model-serving endpoint for querying regulatory documents, a Databricks Notebook interface for iterative query refinement, and Databricks AI Search with automatically generated Spark Declarative Pipelines to ingest preprocessed data into a vector database, with Unity Catalog securing non-public documents.
…ng regulatory documents via a RAG model-serving endpoint. The POC also involved creating a user-friendly Databricks Notebook interface that allowed the regulatory team to iteratively refine their queries and a comprehensive LLMOps process to ensure a production-quality system. To bu…
Technology
Databricks AI Search, Spark Declarative Pipelines, Unity Catalog, Databricks Model Serving, Agent Bricks
…of time and get people interacting with the data in a better way.” Fortunately, Databricks Model Serving makes model choice a modular component, paving the way for the HECO team to experiment and choose the best external mo…
Deployment model
cloud
…. And breaking down these barriers hasn’t always been possible — until you have a solution like the Databricks Data + AI Platform leveraging the Azure infrastructure .” Share this post Details Industry : Energy , Public Sector Cloud : Azure Prod…
Deployment options
cloud
…ricks Data + AI Platform leveraging the Azure infrastructure .” Share this post Details Industry : Energy , Public Sector Cloud : Azure Product : Agent Bricks , Spark Declarative Pipelines , Unity Catalog Ready to g…
Headline outcome
…ian Electric Company CUSTOMER STORY Maintaining regulatory compliance with ease 5 seconds Time spent individually querying regulatory documents — down from five minutes 2 weeks Implementation time to go from zero to RAG Hawaiian Electric Company (H…
Business value
The RAG proof of concept was implemented in two weeks and reduced the time to answer a single regulatory query from about five minutes to five seconds, improving both efficiency and the accuracy and reliability of the information retrieved, with HECO planning to scale the chatbot to other departments.
…versational RAG chatbot acts as a source of truth for lawyers. Looking forward, HECO plans to scale GenAI capabilities to other departments within the company. Because every single manager has to answer questions, Wasson believes that this…
AI capabilities
Retrieval-Augmented Generation, Conversational AI
…nd accurately — answer questions without manually reading through entire texts. The solution was implemented as a conversational RAG chatbot, enabling users to ask follow-up questions and interact with the model in an intuitive and accessible manner. Reducing time to answer from minutes to seconds By automating the process of qu…
Use case type
Conversational assistant
…nd accurately — answer questions without manually reading through entire texts. The solution was implemented as a conversational RAG chatbot, enabling users to ask follow-up questions and interact with the model in an intuitive and accessible manner. Reducing time to answer from minutes to seconds By automating the process of qu…
