Semantic Similarity Search

This tool creates a local database which can be used for semantic search. You can add text entries manually, upload a newline-delimited text file (where each line becomes a separate entry), query the database for semantically similar entries, and manage the stored data.

This tool uses a local implementation of the vector embedding model Snowflake/snowflake-arctic-embed-m.

1. Add Data to the Database

Status

Initializing... Please wait.

2. Query the Database

Results


            

Manage Database

Import Database from JSON