lucretia/embeddingsearch
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Added similarityMethod to example python file

Browse Source
This commit is contained in:
LD-Reborn
2025-08-23 23:17:51 +02:00
parent f6832a93e0
commit a1a33dd17e
1 changed files with 5 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

9
src/Indexer/Scripts/example.py
View File

@@ -5,7 +5,8 @@ from dataclasses import asdict
import time import time
example_content = "./Scripts/example_content" example_content = "./Scripts/example_content"
probmethod = "LVEWAvg" probmethod = "HVEWAvg"
similarityMethod = "Cosine"
example_searchdomain = "example_" + probmethod example_searchdomain = "example_" + probmethod
example_counter = 0 example_counter = 0
models = ["ollama:bge-m3", "ollama:mxbai-embed-large"] models = ["ollama:bge-m3", "ollama:mxbai-embed-large"]
@@ -50,9 +51,9 @@ def index_files(toolset: Toolset):
title = file.readline() title = file.readline()
text = file.read() text = file.read()
datapoints:list = [ datapoints:list = [
JSONDatapoint("filename", qualified_filepath, probmethod_datapoint, models), JSONDatapoint("filename", qualified_filepath, probmethod_datapoint, similarityMethod, models),
JSONDatapoint("title", title, probmethod_datapoint, models), JSONDatapoint("title", title, probmethod_datapoint, similarityMethod, models),
JSONDatapoint("text", text, probmethod_datapoint, models) JSONDatapoint("text", text, probmethod_datapoint, similarityMethod, models)
] ]
jsonEntity:dict = asdict(JSONEntity(qualified_filepath, probmethod_entity, example_searchdomain, {}, datapoints)) jsonEntity:dict = asdict(JSONEntity(qualified_filepath, probmethod_entity, example_searchdomain, {}, datapoints))
jsonEntities.append(jsonEntity) jsonEntities.append(jsonEntity)