Search by meaning
Searches a database and returns the documents closest in meaning to your query, even if they do not share a single word.
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In detail
What it does and what it's for
The Search by meaning action queries one of your vector databases and returns the documents closest to what you are asking about, even when they are written with different words. Write the query the way you would say it out loud: it does not need to match the stored text.
The result is a list the task can iterate over, with each document's text, key, metadata and a similarity score from 0 to 100. You choose how many results you want and, if you need it, the score below which nothing is worth returning: under that threshold the search comes back empty, which is exactly what you want when the answer is not in the database. You can also filter by metadata to search only within part of it.
How it works
How it fits in an automated task
A Botize task pairs a trigger with one or more actions. This piece is one of them.
Pick a trigger
The event that starts the task, from this app or any other.
This action runs
Botize performs it automatically using the data the trigger delivers.
Turn it on and forget it
The task runs on its own from then on. If something's off, tweak it or we'll help you.
Setup
Customization options
Fields you can adjust when using it in your automation.
Output data
Information provided
When executed, this operation delivers the following data, which can be used in the same automatic task.
Tags
-
Results
{{results}}
List of matching documents, best first. Each one has position, doc_key, text, score (0-100) and meta.
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Number of results
{{results_count}}
How many documents were returned
-
Database
{{base}}
Name of the database searched
-
Documents in the database
{{documents}}
How many documents the database holds
Learn by watching
Video tutorials
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