This repository contains a code for Neural Search for startups demo.

The demo is based on the vector search engine Qdrant.

Install python requirements:

pip install poetry
poetry install

You will also need Docker and docker-compose

To launch this demo locally you will need to prepare data first.

The source of the original data is https://www.startups-list.com/

Code for initial data preparation could be found in Colab Notebook.

After evaluating Colab you should get startup records in file ./data/startups.json and encoded vectors in file ./data/startup_vectors.npy

Generate full-text index in ./data/startups.sqlite3

# Init full-text index
python -m qdrant_demo.init_text_search_index

To launch service locally, use

docker-compose -f docker-compose-local.yaml up

After service is started you can upload initial data to the search engine.

# Init neural index
python -m qdrant_demo.init_vector_search_index

After a successful upload, neural search API will be available at http://localhost:8000/docs