Feast

Feast: Feature Store for Machine Learning

[Tzach Livyatan @TzachL]

Looking for a *fast* feature store?
Take a look at @ScyllaDB
https://t.co/zAZRYQgQeO

and the @feast_dev integration https://t.co/sykshrqSs5

[Francisco Javier Arceo @franciscojarceo]

I am so excited to help lead the @Kubeflow community!

I wanted to share my goals with everyone about what I hope to accomplish with both Kubeflow and @Feast_dev.

If you're building in AI and want to use open source, let's connect!

https://t.co/rbxZalxYrQ

[Francisco Javier Arceo @franciscojarceo]

So here's what I've been building with @feast_dev and @kubeflow.

A fully open source, scalable RAG engine. 🤠

[Francisco Javier Arceo @franciscojarceo]

If you're interested in building the foundational AI layer for agents on top of open source, reach out to me.

At @feast_dev we're building the open source RAG engine. 🤗

[Francisco Javier Arceo @franciscojarceo]

Getting to use Devin to building the foundations for AI on @feast_dev is both meta and awesome. 🔥

Thank you @cognition_labs and team for access!

[Francisco Javier Arceo @franciscojarceo]

The Feast Community Newsletter #12!

The @feast_dev team continues to ship!

https://t.co/3fYPtk79Tg

[Francisco Javier Arceo @franciscojarceo]

Exciting update for @feast_dev users. 🚀

RAG with Feast in 5 lines of code! 🤯

[Feast @feast_dev]

👋👋👋

The Feast newsletter has returned!

Check out our latest announcements about our new maintainers, vector databases, community highlights, and more! 👇

https://t.co/oBkBZhD2H5

[Francisco Javier Arceo @franciscojarceo]

Very excited to share that I'm officially one of the new maintainers for the best Open Source Feature Store framework for Machine Learning @feast_dev. 🤠

https://t.co/4W5Gr5etp5

[Feast @feast_dev]

It's landed! @feast_dev now has a first-class integration for @SnowflakeDB! Check it out!

[Snowflake @Snowflake]

🎉 We’re excited to announce an integration w/ @TectonAI's enterprise feature store & Feast.

Available in preview to all Snowflake customers on #AWS, you can now store, process & manage the complete lifecycle of #ML features for production in Snowflake https://t.co/Sh5jZJcom5

[Feast @feast_dev]

Feast is trending on GitHub, check it out!

https://t.co/mdLRhgtUzF

[Rohit Agrawal @RohitA5L]

Excited to see @feast_dev the open source feature store trending on GitHub today https://t.co/5jKsfy2tWU @willpienaar 🎉

[Feast @feast_dev]

Check out how this @arizeai and @feast_dev integration makes building reliable data systems a lot easier!

[Arize AI @arizeai]

📣 Getting machine learning to work in production is not the same as getting it to work in notebooks. Our new integration with Feast, the leading feature store from @Tecton, supercharges feature management and model monitoring for MLOps. Learn more 👇 https://t.co/aOJZXwarNx

[Willem Pienaar @willpienaar]

Building a feature store on AWS? Check out this post on running Feast on AWS with S3, Redshift, and DynamoDB https://t.co/zk4ZjoNaWV

[Flyte @flyteorg]

Learn how @flyteorg & @feast_dev can help users take their models from prototyping to production in a cost-effective and efficient manner at #OSPOCon.
"Self-serve Feature Engineering Platform Using Flyte and Feast"
Tuesday, September 28 • 5:00pm - 5:50pm
#Flyte #AI #ML #DL

[Feast @feast_dev]

How to use #Feast #FeatureStore and @GoogleCloudTech to design an ML data stack for fraud prediction
https://t.co/djR3DLJ72L #MLOps #MachineLearning #FraudDetection

[Feast @feast_dev]

In case you missed it...

[{Jules Damji}=💻📚📝 @2twitme]

If you missed today #applyCommunityMeetup, you can catch all the informative sessions. cc: @TectonAI @feast_dev #MLOps #MachineLearning #FeatureStore
https://t.co/svT10ZoS5y

[{Jules Damji}=💻📚📝 @2twitme]

.@Shopify @mattdelacour shares how @feast_dev helped them scale and some suggestions to contribute at #applyConf #MLOps #machineLearning

[{Jules Damji}=💻📚📝 @2twitme]

.@TectonAI's @willpienaar & creator of @feast_dev demos at #applyConf how #Feast 0.12 new support for @awscloud Redshift & DynamicDB & Feature Service can be easily used. #MLOps #machineLearning #FeatureStore

[Feast @feast_dev]

.@RobinhoodApp's Rand) Xie explains in technical details how & why they use @feast_dev in their production at @applyConf #MLOps #MachineLearning

[Feast @feast_dev]

.@RobinhoodApp's Rand) Xie explains in technical details how & why they use @feast_dev in their production at @applyConf #MLOps #MachineLearning