Skip to content

Latest commit

 

History

History
20 lines (12 loc) · 675 Bytes

README.md

File metadata and controls

20 lines (12 loc) · 675 Bytes

Introduction

A demo to show how to deploy a txtai app using weaviate as the document store.

Prerequisites

  1. VS Code
  2. Docker

Usage

  1. Use VS Code to open this project in the provided dev container
  2. Run docker-compose up
  3. Run python index.py to index some data
  4. Refer to api.http to learn how to work with txtai's workflow endpoint to run a semantic search query

Note:

  • This blog post has more details about the design of this solution.