Title
Democratize insight with generative AI and knowledge graphs
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Description
Stardog used Databricks Training to fine-tune large language models for Voicebox, a conversational AI interface for its Enterprise Knowledge Graph platform. After finding off-the-shelf models from OpenAI and others insufficient for the accuracy required, Stardog fine-tuned its own smaller models to match or exceed the quality of larger third-party models while retaining data security and control, letting business users query enterprise data using natural language prompts.
…ter support their needs, Stardog pivoted toward Mosaic’s AI training platform. “We quickly learned that if you have a smaller model that you fine-tune for a specific task, you can match or exceed the quality of OpenAI, and you have more control over data security and privacy,” adds Sirin. Databricks and Mosaic drive generative AI advancements Already a…
Company
Stardog
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Stardog CUSTOMER STORY Democratize insight with generative AI and knowledge graphs Star…
Industry
Technology & Software
…e AI-powered solutions to the market that much faster.” Share this post Details Industry : Technology and Software Use Case : Artificial Intelligence Product : Agent Bricks Ready to get started?…
Problem
Stardog's Enterprise Knowledge Graph platform made it easier to access organizational data, but not all users have the specialized skills needed to query data, and knowledge graphs previously required specialized skills to properly access and query.
…rdog CUSTOMER STORY Democratize insight with generative AI and knowledge graphs Stardog’s Enterprise Knowledge Graph platform was designed to make it easier for users to access data within their organization. However, not all users have the specialized skills needed to query data. That’s why Stardog turned to Databricks to develop Voicebox. This innovative so…
Solution
Stardog used Databricks Training, built on Mosaic's AI training platform, to fine-tune its own large language models rather than relying on off-the-shelf or third-party models, which were not good enough for complex queries and raised data security and privacy concerns. This produced Voicebox, a conversational AI semantic layer: the LLM identifies the core concepts in a user's natural language query, sends them to a vector database to align with actual concepts in structured data sources, and returns the right output in the knowledge graph. Databricks' version management and zero-downtime deployment let Stardog iterate and deploy new versions quickly.
…heir questions conversationally, and get the applicable data back in real time. The large language model (LLM) first identifies the core concepts in a user’s natural language query and then sends it to a vector database to align those terms with actual concepts in the structured data sources. This information is then sent back to the model to display the right output in…
Business value
Positive feedback from early-access customers led Stardog to expand Voicebox to all Stardog Cloud users, letting them query enterprise data with plain-language prompts. Databricks has made Stardog's LLMs faster, more secure and more cost-effective to build, letting the company manage the full ML lifecycle on a single platform.
…ly days, customers are already excited, and the company has grand plans for it. Thanks to the powerful combination of data and AI tools from Databricks, LLMs are now faster, more secure and more cost-effective to build. Stardog can use a single platform to manage all aspects of the ML lifecycle, wh…
AI capabilities
Large Language Models, Conversational AI, Retrieval-Augmented Generation
…heir questions conversationally, and get the applicable data back in real time. The large language model (LLM) first identifies the core concepts in a user’s natural language query and then sends it to a vector database to align those terms with actual concepts in the structured data sources. This information is then sent back to the model to display the right output in…
Technology
Databricks Training, Agent Bricks
…t Details Industry : Technology and Software Use Case : Artificial Intelligence Product : Agent Bricks Ready to get started? Try Databricks for free Learn more about our product Talk…
Implementation approach
Stardog first experimented internally with OpenAI and other off-the-shelf models, found their output quality insufficient for complex queries, then pivoted to Mosaic's AI training platform to fine-tune smaller, customized models for better quality and data control.
…mplify data access and exploration through the use of natural language prompts. Initially, Stardog experimented internally with OpenAI and other solutions to power Voicebox. The company quickly found that the quality of the outputs was not at the level required for more complex queries. They also recognized that an in-house approach — rather than sending data to a…
Onboarding approach
Voicebox launched to early-access customers first; positive feedback from that group led Stardog to expand access to all Stardog Cloud users.
…better connects users with their data through simple natural language prompts. Positive feedback from early-access customers has led Stardog to expand access to Voicebox, empowering all Stardog Cloud users to use plain language to query their enterprise data. Enterprise data access hampered by skill requirements and dependencies Data sil…
Headline outcome
…dback from early-access customers has led Stardog to expand access to Voicebox, empowering all Stardog Cloud users to use plain language to query their enterprise data. Enterprise data access hampered by skill requirements and dependencies Data si…
Use case type
Knowledge search
…location and structure. Using large language models fine-tuned with Databricks, Voicebox acts as a conversational AI semantic layer that better connects users with their data through simple natural language prompts. Positive feedback from early-access customers has led Stardog to expand access…
Capture details
- Captured
- 16 Sept 2026, 06:06 UTC
- Extractor
- fetch-strip@1
- Snapshot hash
- 914286cb9dd5198e3c1eac50cdf662e1378b55984b97270ce9e4a12eae829aea