Feb 2026
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Aditya Godbole
Submitted Jan 10, 2026
Databases gave us programmable data. REST APIs gave us programmable information. With LLMs we are poised for programmable knowledge. But when it comes to complex domains, are we ready?
When it comes to systems like a production software stack, knowledge is held not just in the raw data, but in the entities of the system and their relationships. While information can be represented as a vector, knowledge is essentially a graph. In this talk I will present techniques that have proven in the real world to boost quality and accuracy of agents, by augmenting them with programmable knowledge graphs.
We will look at the parts of a programmable knowledge system, with a real-world case study.
The audience can expect to learn about practical challenges in using LLMs for complex domains, and gain at least a conceptual understanding of the components of a programmable knowledge agentic system.
Aditya Godbole is the CTO of last9.io. He has seen the twists and turns of the software industry for 24 years and has worked across technologies and domains from embedded systems using assembly, to ML models on the cloud.
Along with building software products and companies, he is also a student of physics, mathematics and tennis.
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