This commit is contained in:
2026-07-29 11:14:04 +07:00
parent d0d9446d99
commit efa18ba800
11 changed files with 6120 additions and 38 deletions
+110 -10
View File
@@ -1,10 +1,110 @@
# check if this column has vector embedding. if there is one, seach vector version instead
column_name_embedding = column_name * "_embedding"
if occursin(column_name_embedding, tables_schema[column_name_embedding])
vector_column = Dict(
"table_name"=> table_name,
"column_name"=> column_name_embedding,
"operator"=> "vector_similarity",
"value"=> column_obj["value"]
)
end
read codebase.
I need to understand this agent concept deeply.
Can you write related documents (.md files) that will help me understand the agent
and save in "/home/ton/docker-apps/sommpanion/YiemAgent/learning" folder?
I'm learning best in **Top-Down** style so I know how each component are synchonized.
P.S. use diagram to show how process flow and relationship