How To Quickly Build A Semantic Search System With txtai And Weaviate

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Originally published on Towards AI.

Step 1: Define the image for the txtai API server

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In this article, I will explain how to quickly build a machine learning-based semantic search engine using docker compose and the following tools/libraries:

txtai: A framework to run machine-learning workflows to transform data and build AI-powered semantic search applications.weaviate: A vector search enginetxt-weaviate: A small library to make it easy to integrate weaviate with txtai

The code to reproduce this solution can be found here.

We only need to follow 3 steps to get started:

Step 1: Define the image for the txtai API serverStep 2: Define the txtai configurationStep 3: Deploy with… Read the full blog for free on Medium.

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Published via Towards AI