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vector-search-test-task's Introduction

Vector-search task

A simple vector search task implementation using Weaviate vector database with pre-built model for vector embedding.

How to run

Prerequisites

docker and docker-compose

How to setup and run

docker-compose up --build

Note: The first time you run the service, it will take some time to populate the database.

How to destroy

docker-compose down

How to use

The service will be available at http://0.0.0.0:8000. OpenAPI documentation is available at http://0.0.0.0:8000/docs.

This API contains /query endpoint which can be used to search for similar items in the database. It has the following parameters:

  • q: query string for vector search
  • filters: list of phrases to filter the results (exactly match)

Example:

curl -X 'GET' \
  'http://0.0.0.0:8000/query?q=smart%20computer&filters=python&limit=10&offset=0' \
  -H 'accept: application/json'

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