Building a High Performance Embeddings Engine at Tecton

July 18, 2024

At Tecton, we’ve always been focused on enabling customers to access and use their data in machine learning applications. Historically, this has meant transforming, joining, and aggregating tabular data into features that can be used in low-latency …

Productionizing Embeddings: Challenges and a Path Forward

April 30, 2024

Embeddings – condensed, rich representations of unstructured data – have emerged as a transformative technique for unlocking the full potential of both predictive and generative AI. In business-critical predictive AI applications like fraud …

Efficient & Accurate Data Generation for ML Models

October 17, 2023

Every effective ML models requires well-structured training data. This post covers the main challenges of constructing queries for feature retrieval and how the Tecton engineering team resolved them.

Key Takeaways From Ray Summit

October 11, 2023

Read this post for a summary of interesting announcements, learnings, and insights from Ray Summit, from LLMs and RAG, to generative AI and predictive ML.