This blog shows how to fetch information from an Elasticsearch index, in a natural language expression, using semantic search. We will load previous olympic games data set and then use the ELSER model to perform semantic searches.

The tools and the data set

Download and deploy ELSER model

Load the data set into Elasticsearch using Eland

Create an ingest pipeline for inference based on ELSER

Preparing the index

Update the mapping: add a sparse vector field

Populate the sparse vector field

Let's explore the Olympic data set using semantic search

🏌️‍♂️ “Who won the Golf competition in 1900?”

🏃‍♀️ “2004 Women's Marathon winners”

🏹 “Women archery winners of 1908”

🚴‍♂️ “Who won the individual cycling competition in 1972?”

Conclusion

Serverless semantic search with ELSER in Python

Serverless semantic search with ELSER in Python: Exploring Summer Olympic games history

Author

Essodjolo Kahanam

Articles

Serverless semantic search with ELSER in Python: Exploring Summer Olympic games history