chore: remove tsne unused code (#6077)

api/poetry.lock

@@ -7170,90 +7170,6 @@ testing = ["h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "hypothesis (>=6.70.2
 torch = ["safetensors[numpy]", "torch (>=1.10)"]
 
 [[package]]
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-version = "1.2.2"
-description = "A set of python modules for machine learning and data mining"
-optional = false
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-
-[package.dependencies]
-joblib = ">=1.1.1"
-numpy = ">=1.17.3"
-scipy = ">=1.3.2"
-threadpoolctl = ">=2.0.0"
-
-[package.extras]
-benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
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-
-[[package]]
-name = "scipy"
-version = "1.14.0"
-description = "Fundamental algorithms for scientific computing in Python"
-optional = false
-python-versions = ">=3.10"
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-
-[package.dependencies]
-numpy = ">=1.23.5,<2.3"
-
-[package.extras]
-dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"]
-doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.13.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"]
-test = ["Cython", "array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
-
-[[package]]
 name = "sentry-sdk"
 version = "1.39.2"
 description = "Python client for Sentry (https://sentry.io)"
@@ -7661,17 +7577,6 @@ files = [
 tencentcloud-sdk-python-common = "3.0.1183"
 
 [[package]]
-name = "threadpoolctl"
-version = "3.5.0"
-description = "threadpoolctl"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "threadpoolctl-3.5.0-py3-none-any.whl", hash = "sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467"},
-    {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"},
-]
-
-[[package]]
 name = "tidb-vector"
 version = "0.0.9"
 description = "A Python client for TiDB Vector"
@@ -9095,4 +9000,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "a31e1524d35da47f63f5e8d24236cbe14585e6a5d9edf9b734d517d24f83e287"
+content-hash = "fdba75f08df361b7b0d89d375062fa9208a68d2a59597071c6e382285f6fccff"

api/pyproject.toml

@@ -163,7 +163,6 @@ redis = { version = "~5.0.3", extras = ["hiredis"] }
 replicate = "~0.22.0"
 resend = "~0.7.0"
 safetensors = "~0.4.3"
-scikit-learn = "1.2.2"
 sentry-sdk = { version = "~1.39.2", extras = ["flask"] }
 sqlalchemy = "~2.0.29"
 tencentcloud-sdk-python-hunyuan = "~3.0.1158"

api/services/hit_testing_service.py

@@ -1,9 +1,6 @@
 import logging
 import time
 
-import numpy as np
-from sklearn.manifold import TSNE
-
 from core.rag.datasource.retrieval_service import RetrievalService
 from core.rag.models.document import Document
 from core.rag.retrieval.retrival_methods import RetrievalMethod
@@ -102,29 +99,6 @@ class HitTestingService:
         }
 
     @classmethod
-    def get_tsne_positions_from_embeddings(cls, embeddings: list):
-        embedding_length = len(embeddings)
-        if embedding_length <= 1:
-            return [{'x': 0, 'y': 0}]
-
-        noise = np.random.normal(0, 1e-4, np.array(embeddings).shape)
-        concatenate_data = np.array(embeddings) + noise
-        concatenate_data = concatenate_data.reshape(embedding_length, -1)
-
-        perplexity = embedding_length / 2 + 1
-        if perplexity >= embedding_length:
-            perplexity = max(embedding_length - 1, 1)
-
-        tsne = TSNE(n_components=2, perplexity=perplexity, early_exaggeration=12.0)
-        data_tsne = tsne.fit_transform(concatenate_data)
-
-        tsne_position_data = []
-        for i in range(len(data_tsne)):
-            tsne_position_data.append({'x': float(data_tsne[i][0]), 'y': float(data_tsne[i][1])})
-
-        return tsne_position_data
-
-    @classmethod
     def hit_testing_args_check(cls, args):
         query = args['query']