How Tecton’s Feature Platform Supercharged HomeToGo’s Ranking

October 17, 2024

This post was originally published on the HomeToGo blog and can be viewed here. At HomeToGo, our vision is to make incredible homes easily accessible to everyone. As the SaaS-enabled marketplace with the world’s largest selection of vacation …

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 …

Why RAG Isn’t Enough Without the Full Data Context

September 20, 2024

Oh no! Your flight is delayed! You’re going to miss your connection and you need to change flights ASAP. Ever the savvy traveler, you start chatting with the new AI-powered customer support chatbot in the airline’s app. But does the chatbot know …

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 …

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 …

Test and Validate Feature Quality with Tecton

December 18, 2023

Tecton ensures the quality of machine learning features in production.

Visualizing Feature Lineage with Tecton Dataflow

December 11, 2023

Tecton is the interface between raw data and production ML models. Sitting at the intersection between data and AI enables Tecton to provide powerful visibility into feature lineage – namely, what raw data ultimately powers which models. Today …

Orchestrating Feature Pipelines: Announcing the Tecton Airflow Provider

October 31, 2023

The Tecton Airflow provider allow feature platform orchestration through the management of Tecton Feature Views and Feature Services in Airflow.

Combining Online Stores for Real-Time Serving

October 10, 2023

Tecton uses Redis or DynamoDB as an online store for production machine learning. This post provides examples that use both databases together

A Closer Look at the Latest Feature Engineering Workflow Improvements in Tecton 0.6

March 31, 2023

Tecton 0.6 makes it easier to iterate on feature engineering workflows by providing a number of capabilities that make it easier to develop, test, and deploy ML features.

Notebook-Driven Development with Tecton 0.6: Combating Fraud and Optimizing Dynamic Pricing

March 20, 2023

Notebook-driven development is a flexible and efficient approach that enables data scientists, ML engineers, and data engineers to define features in Python notebooks while constructing ML models.

Tecton 0.6 Enables Data Teams to Improve Iteration Speed When Building Batch, Streaming & Real-Time Features

March 15, 2023

The 0.6 release aims to provide a seamless transition from notebook development to production, the first feature platform to offer this capability