Have you ever worked with full-text search systems?

Yes, experience with full-text search systems includes using tools such as Elasticsearch, Apache Solr, or Whoosh (for Python).

Full-text search allows efficient document retrieval based on content, supports ranking results, working with synonyms, morphology, and other language features.

An example of using Elasticsearch with Python (via the elasticsearch-py library):

from elasticsearch import Elasticsearch

es = Elasticsearch()

# Indexing a document
es.index(index='articles', id=1, body={'title': 'Python and Search', 'content': 'Full-text search with Elasticsearch'})

# Searching by keyword
res = es.search(index='articles', body={'query': {'match': {'content': 'search'}}})

for hit in res['hits']['hits']:
    print(hit['_source'])

This experience helps in creating fast and user-friendly search systems for applications.