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Ashis Chakraborty
Ashis Chakraborty

Posted on • Originally published at codeburst.io on

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System Design 101: System Design Analysis of Google Auto-Suggestion Service.

How does Google provide auto-suggestion?

Autosuggestion enables users to search for known and frequently searched words. As the user types in the Google search box, it tries to predict the query based on the characters that are entered and give a list of suggestions to complete the query. A lot of us wonder how this occurs in real-time. In this article, we will try to design an autosuggestion service!!

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🚀 pgai Vectorizer: SQLAlchemy and LiteLLM Make Vector Search Simple

We built pgai Vectorizer to simplify embedding management for AI applications—without needing a separate database or complex infrastructure. Since launch, developers have created over 3,000 vectorizers on Timescale Cloud, with many more self-hosted.

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A Workflow Copilot. Tailored to You.

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Our desktop app, with its intelligent copilot, streamlines coding by generating snippets, extracting code from screenshots, and accelerating problem-solving.

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👋 Kindness is contagious

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