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Title

Circuitry.ai builds RAG chatbots on Databricks to give manufacturers' customers decision intelligence

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…rmation Circuitry.ai — a new company inspired by recent advancements in GenAI — aims to provide decision intelligence to manufacturers of high-value, complex products. Their mission is to help analyze, augment and automate decisions throughout th…

Description

Circuitry.ai used Delta Lake, Unity Catalog, MLflow and Model Serving on Databricks to build customer-specific retrieval augmented generation chatbots, powered by Llama and DBRX, that let manufacturers of complex products like heavy equipment and automotive parts query proprietary product documentation instead of searching large PDF manuals. The RAG-powered Decision AIdvisor tool cut the time customers spend searching for information by 60-70%.

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…e the accuracy and relevance of the answers provided by their AI chatbot tools. This pipeline utilized generative AI models, specifically Llama and DBRX , which are known for their precision and reliability. Kartham explained, ”Data…
…itry.ai CUSTOMER STORY Building smarter decision intelligence for manufacturers 60–70% Reduction in time searching for information Circuitry.ai — a new company inspired by recent advancements in GenAI — aims to…

Company

Circuitry.ai

classification · high
…y to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Circuitry.ai CUSTOMER STORY Building smarter decision intelligence for manufacturers 60–70%…

Industry

Technology & Software

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…ry and decision intelligence tools, visit Circuitry.ai. Share this post Details Industry : Technology and Software Use Case : Artificial Intelligence Cloud : AWS Product : Agent Bricks Ready to…

Problem

Circuitry.ai's small technical team experienced delays developing RAG chatbots due to the complexity of managing and updating vast amounts of proprietary customer data, facing challenges applying metadata filters on retrievers, establishing internal checks for AI chatbots, handling knowledge base updates without disrupting internal RAG chains, and integrating multiple differently structured data sources.

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…nalyze, augment and automate decisions throughout the buyer lifecycle. However, their small technical team was experiencing delays in developing retrieval augmented generation (RAG) chatbots due to the complexity of managing and updating vast amounts of proprietary customer data. Partnering with Databricks, Circuitry.ai utilized a suite of features to strea…

Solution

Circuitry.ai used Delta Lake for incremental data updates to keep the knowledge base current, Unity Catalog for data governance and segregation of proprietary customer information, and MLflow and Databricks Model Serving to deploy and manage ML models, building custom RAG chatbots powered by Llama and DBRX with a feedback mechanism where users rate GenAI-generated responses for continuous improvement.

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…akes through ACID transactions and unified batch and streaming data processing. Delta Lake supported the incremental data updates needed, which were crucial for keeping the knowledge base current when new products and knowledge articles were added. This workflow alone took u…

Business value

Customers of Circuitry.ai's decision intelligence software experienced a 60-70% reduction in the time spent searching for information, particularly speeding onboarding for new employees, and customers now receive answers in seconds rather than minutes instead of searching through large PDF files.

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…are experienced a 60–70% reduction in the time spent searching for information. This efficiency gain is particularly evident in the onboarding process for their customers’ new employees, who now have easier access to relevant information. The streamlined data manag…

Technology

Delta Lake, Unity Catalog, MLflow, Databricks Model Serving, Llama, DBRX

classification · high
…e the accuracy and relevance of the answers provided by their AI chatbot tools. This pipeline utilized generative AI models, specifically Llama and DBRX , which are known for their precision and reliability. Kartham explained, ”Data…

AI capabilities

Retrieval-Augmented Generation, Large Language Models

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…ed to the application stack for customer use. On top of this application stack, Circuitry.ai implemented a RAG pipeline to enhance the accuracy and relevance of the answers provided by their AI chatbot tools. This pipeline utilized generative AI models…

Use case type

Decision support

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…rmation Circuitry.ai — a new company inspired by recent advancements in GenAI — aims to provide decision intelligence to manufacturers of high-value, complex products. Their mission is to help analyze, augment and automate decisions throughout th…

Headline outcome

derived · high
…itry.ai CUSTOMER STORY Building smarter decision intelligence for manufacturers 60–70% Reduction in time searching for information Circuitry.ai — a new company inspired by recent advancements in GenAI — aims to…

Deployment model

cloud

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…t Details Industry : Technology and Software Use Case : Artificial Intelligence Cloud : AWS Product : Agent Bricks Ready to get started? Try Databricks for free Learn more…

Deployment options

cloud

classification · high
…t Details Industry : Technology and Software Use Case : Artificial Intelligence Cloud : AWS Product : Agent Bricks Ready to get started? Try Databricks for free Learn more…
Capture details
Captured
11 Sept 2026, 06:06 UTC
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fetch-strip@1
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9a5eaba6c7c441aced37924c6cad440bd7a1edb7cd6c516998786fcc77993569