Enhancing LLM Chatbots: Guide to Personalization 

October 16, 2024

Summary:  Tecton introduced new GenAI capabilities (in private preview) in the 1.0 release of its SDK that makes it much easier to productionize RAG applications. This post shows how the SDK can enable AI teams to use the SDK to build …

Enriching LLMs with Real-Time Context using Tecton

September 15, 2024

Large language models (LLMs) have revolutionized natural language AI, but they still face challenges when it comes to accessing up-to-date information and providing personalized responses. In Tecton 1.0, Tecton introduces innovative solutions to …

Using LangChain and Tecton to Enhance LLM Applications with Up-to-Date Context

August 26, 2024

In the world of generative AI app development it is now clear that integrating large language models (LLMs) with current contextual data is critical in order to improve accuracy and relevance of its responses. This post explores how to improve AI …

A Practical Guide to Tecton’s Declarative Framework

June 26, 2024

In this previous blog post, we saw how treating features as code can revolutionize the feature engineering process and bridge the gap between data scientists and engineers. We introduced Tecton’s declarative framework as an abstraction to …

How Features as Code Unifies Data Science and Engineering

June 17, 2024

Feature engineering is a critical part of machine learning but it is frequently overlooked as a complex aspect of building successful models. Features are the lifeblood that ML models use to make predictions or decisions. Creating high-quality …