From f0cb32e8ff8ee85fa3f47df08ba8017f79b64d2c Mon Sep 17 00:00:00 2001 From: davidmezzetti <561939+davidmezzetti@users.noreply.github.com> Date: Wed, 8 Nov 2023 09:29:23 -0500 Subject: [PATCH] Update documentation --- docs/embeddings/query.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/embeddings/query.md b/docs/embeddings/query.md index 2e215cc9d..a984a1c0e 100644 --- a/docs/embeddings/query.md +++ b/docs/embeddings/query.md @@ -60,7 +60,9 @@ Weights sets the hybrid score weights when an index has both a sparse and dense ### Dynamic columns -Content can be indexed in multiple ways when content storage is enabled. [Remember that input documents](../#index) take the form of `(id, data, tags)` tuples. If data is a string, then content is primarily filtered with similar clauses. If data is a dictionary, then all fields in the dictionary are indexed and searchable. +Content can be indexed in multiple ways when content storage is enabled. [Remember that input documents](../#index) take the form of `(id, data, tags)` tuples. If data is a string or binary content, it's indexed and searchable with `similar()` clauses. + +If data is a dictionary, then all fields in the dictionary are stored and available via SQL. The `text` field or [field specified in the index configuration](../configuration/general/#columns) is indexed and searchable with `similar()` clauses. For example: