Manifest.toml

@@ -2,7 +2,7 @@
 
 julia_version = "1.12.6"
 manifest_format = "2.0"
-project_hash = "fec141f7ff95c7150e820def295f9929445168b6"
+project_hash = "be97ee6871e6226aa3a499d3dfac9cc08bccdfdc"
 
 [[deps.Accessors]]
 deps = ["CompositionsBase", "ConstructionBase", "Dates", "InverseFunctions", "MacroTools"]
@@ -300,11 +300,11 @@ version = "1.1.0"
 
 [[deps.GeneralUtils]]
 deps = ["CSV", "DataFrames", "DataStructures", "Dates", "Distributions", "Graphs", "HTTP", "JSON", "LibPQ", "NATS", "PrettyPrinting", "Random", "Revise", "SHA", "StringDistances", "UUIDs"]
-git-tree-sha1 = "596da266c851d00fbabcf33660419aeffb820fcb"
+git-tree-sha1 = "779dc73098f322590b94dc315a497307a0e053d1"
 repo-rev = "main"
 repo-url = "https://git.yiem.cc/ton/GeneralUtils"
 uuid = "c6c72f09-b708-4ac8-ac7c-2084d70108fe"
-version = "0.5.7"
+version = "0.5.8"
 
 [[deps.Graphs]]
 deps = ["ArnoldiMethod", "DataStructures", "Inflate", "LinearAlgebra", "Random", "SimpleTraits", "SparseArrays", "Statistics"]

Project.toml

@@ -28,7 +28,7 @@ UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
 Base64 = "1.11.0"
 CSV = "0.10.15"
 DataFrames = "1.7.0"
-GeneralUtils = "0.5.7"
+GeneralUtils = "0.5.8"
 HTTP = "2.4.0"
 JSON = "1.6.1"
 LLMMCTS = "0.1.5"

src/llmfunction.jl

@@ -302,16 +302,32 @@ function search_wine_database!(a::T, thoughtdict::AbstractDict; useSQLLLM::Bool=
   else
 
     # direct query with possible sql instead of SQLLLM. 
-    hard_conditions, vector_search_words = wine_search_term_classification(a, thoughtdict["action_input"])
+    hard_conditions, vector_search = wine_search_term_classification(a, thoughtdict["action_input"])
 
     # do hard filter
     # sql = generatesql(a, inventoryquery)
     sql = predefined_wine_search_sql(hard_conditions)
-    @info "\nsql: $sql, \nvector_search_words: $vector_search_words"
+    @info "\nsql: $sql, \nvector_search: $vector_search"
     textresult, sql_result_df, success, _ = SQLexecution(a.context.executeSQL, sql)
     
-    #WORKING  do vector search
-    GeneralUtils.find_text_vector_similarity(vector_search_words, "wine")
+    #  do vector search
+    vector_search_str = ""
+    for i in vector_search
+      vector_search_str = vector_search_str * " " * i["value"]
+    end
+    vector_search_str = String(strip(vector_search_str))
+    vector_search_str = GeneralUtils.removestring(vector_search_str, ["%"])
+    @show vector_search
+    @show vector_search_str
+
+    #WORKING
+    GeneralUtils.find_text_vector_similarity(vector_search_str, "wine", "tasting_notes_embedding",
+                  GeneralUtils.execute)
+
+
+
+
+
 
     items = nothing
     if sql_result_df !== nothing