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Make your life easier and your database smarter: Retake (YCS23)
Meet your new best friend in the world of database search!
In the ever-evolving landscape of database management, finding a search solution that seamlessly fits like a missing puzzle piece is akin to striking gold. Introducing Retake, your new best friend in the world of database search!
This open-source marvel snaps right into any Python or TypeScript app in a matter of minutes, making your life easier and your database smarter.
What to expect in today’s article:
💻 Meet the Brilliant Minds Behind Retake
💻 The Problem: Bridging the Gap
💻 The Solution: Neural Search Simplified
💻 Special Offer for Early Adopters
The Masterminds Behind Retake
Retake isn't just a tech solution; it's a product of passion and expertise. Philippe Noël and Ming Ying, the brains behind this operation, have been down this road before. With their first company, they spent three years mastering containerized GPU infrastructure and cutting-edge AV streaming protocols. Now, they're back, armed with the knowledge and a penchant for building ergonomic infrastructure that enhances existing tools with minimal developer effort.
Phillipe (left) and Ming (right) at the YC office.
The Problem: A Search Odyssey
A little over a month ago, Retake launched its v1, a SQL-to-vectorDB ETL product, and quickly realized that there was a more profound issue at hand. Traditional search engines, like ElasticSearch, pack a punch but are as unwieldy as a bull in a china shop when it comes to quick iterations. On the flip side, vector databases, like Pinecone, are agile for prototyping but fall short on vital features like full-text (BM25) search, faceting, filtering, and custom ranking. It's a classic case of two halves not making a whole.
Moreover, neither of these solutions has the courtesy to integrate seamlessly with your sources of truth. Developers are often left in the lurch, having to craft their own data pipelines. Cue the headaches.
The Solution: Retake to the Rescue
Retake strides in as a real-time keyword (BM25) and semantic (kNN) search powerhouse—also known as neural search—for developers. It's tailor-made to stay in sync with fast-changing databases, and it plays nice with Postgres, the friendly neighborhood database.
But here's where it gets exciting: Retake doesn't just offer a lifeline; it provides you with a low-code SDK that effortlessly injects neural search into your Python or TypeScript app. Say goodbye to the days of juggling vector stores, text search engines, and reindexing data. You can now focus on writing those search queries while Retake takes care of the rest. It's like having a search-savvy personal assistant for your database.
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The Offer: Join the Retake Revolution
Last week, Retake rolled out the red carpet for its first cohort of users. And now, the spotlight turns to you. Here's what's on the table:
Who You Are:
You're developing an application where precision in search results isn't just nice—it's crucial.
You're all about an all-in-one search tool that's opinionated and "just works."
You're up for a bit of DIY, like spinning up a local Docker instance and self-hosting, as Retake gears up to build a managed cloud version.
What You'll Get:
A white glove onboarding experience, complete with coffee and scones if you're in SF. Yes, you read that right; they'll come to you!
90 days of premium-level usage when the cloud version takes flight.
Priority access to Retake's newest features, hot off the development press.
Join the Search Revolution
If the world of database search has left you feeling like you're in the middle of a maze, it's time to reach out to Retake.
Whether you're into traditional search or the allure of a vector database, the team at [email protected] is your beacon of hope. Say goodbye to search woes and hello to a smoother, smarter database experience!