diff --git a/.gitignore b/.gitignore
index 94c7550..f021128 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,8 +1,6 @@
-# FastAPI dev/build outputs
+# Python dependencies
 __pycache__
 .ruff_cache
-
-# Python dependencies
 .venv
 
 # Logs
diff --git a/Dockerfile b/Dockerfile
index eb435af..3c7b756 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,21 +1,20 @@
 FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS builder
 
-# Enable bytecode compilation
 ENV UV_COMPILE_BYTECODE=1
-# Copy from the cache instead of linking since it's a mounted volume
 ENV UV_LINK_MODE=copy
 
+WORKDIR /app
+
 RUN --mount=type=cache,target=/root/.cache/uv \
   --mount=type=bind,source=uv.lock,target=uv.lock \
   --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
   uv sync --frozen --no-install-project --no-dev
 
-ADD . /app
+COPY .python-version pyproject.toml uv.lock ./
 
-WORKDIR /app
+RUN --mount=type=cache,target=/root/.cache/uv uv sync --frozen --no-dev
 
-RUN --mount=type=cache,target=/root/.cache/uv \
-  uv sync --frozen --no-dev
+COPY . .
 
 FROM python:3.12-slim AS runner
 
@@ -25,12 +24,10 @@ ARG BUILD_TIME
 ENV PYTHON_ENV=production
 ENV PATH="/app/.venv/bin:$PATH"
 
-COPY --from=builder /app/.venv /app/.venv
-COPY --from=builder /app/assets /app/assets
-COPY --from=builder /app/server /app/server
-
 WORKDIR /app
 
+COPY --from=builder /app/.venv /app/assets /app/server ./
+
 EXPOSE 8000
 
 CMD ["fastapi", "run", "server/main.py", "--host", "0.0.0.0", "--port", "8000"]
\ No newline at end of file
diff --git a/docker-compose.yml b/docker-compose.yml
deleted file mode 100644
index 631aab7..0000000
--- a/docker-compose.yml
+++ /dev/null
@@ -1,20 +0,0 @@
-name: 'unai'
-services:
-  api:
-      image: "ghcr.io/shba007/unai-api:latest"
-      env_file:
-          - .env.prod
-      ports:
-          - 2300:8000
-
-  tf-serve:
-      image: "tensorflow/serving:2.18.0"
-      ports:
-          - 1510:8500
-          - 1511:8501
-      volumes:
-          - type: bind
-            source: models
-            target: /models
-      tty: true
-      command: --model_config_file=/models/models.config
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index 8bd9860..0ac433c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,13 +14,16 @@ dependencies = [
     "pydantic>=2.10.4",
     "scipy>=1.14.1",
     "nanoid>=2.0.0",
+    "transformers[torch]>=4.47.1",
+    "timm>=1.0.12",
+    "einops>=0.8.0",
 ]
 
 [dependency-groups]
 dev = [
     "changelog-gen>=0.13.5",
     "pytest>=8.3.4",
-    "ruff>=0.8.3",
+    "ruff>=0.8.4",
     "taskipy>=1.14.1",
 ]
 
diff --git a/server/main.py b/server/main.py
index 9028b5d..777db3d 100644
--- a/server/main.py
+++ b/server/main.py
@@ -1,11 +1,13 @@
 from fastapi import FastAPI
 
 # from server.dependencies import get_query_token
-from server.routes import health, detect, omr, search
 
-app = FastAPI()  # dependencies=[Depends(get_query_token)])
+from server.routes import health, image, text
+
+# dependencies=[Depends(get_query_token)])
+app = FastAPI()
 
 app.include_router(health.router)
-app.include_router(detect.router)
-app.include_router(search.router)
-app.include_router(omr.router)
+app.include_router(image.detect.router)
+app.include_router(image.embedding.router)
+app.include_router(text.embedding.router)
diff --git a/server/routes/image/__init__.py b/server/routes/image/__init__.py
new file mode 100644
index 0000000..f24bd6f
--- /dev/null
+++ b/server/routes/image/__init__.py
@@ -0,0 +1,5 @@
+from . import detect
+from . import embedding
+
+
+__all__ = [detect, embedding]
diff --git a/server/routes/detect.py b/server/routes/image/detect.py
similarity index 88%
rename from server/routes/detect.py
rename to server/routes/image/detect.py
index e01f983..78daa8d 100644
--- a/server/routes/detect.py
+++ b/server/routes/image/detect.py
@@ -1,10 +1,12 @@
 import json
 from typing import List, Tuple
-from fastapi import APIRouter, HTTPException
+from fastapi import HTTPException
+from pydantic import BaseModel
 import httpx
 from nanoid import generate
 import numpy as np
-from pydantic import BaseModel
+
+from .router import router
 
 from server.core.config import config
 from server.utils.base64ToArray import base64_to_array
@@ -83,31 +85,24 @@ def predict(image: np.ndarray):
 
     try:
         detections = httpx.post(
-            f"{config.tensorflow_api_url}/v1/models/detector:predict",
+            f"{config.tensorflow_api_url}/v1/models/custom-detector:predict",
             data=data,
         )
 
         return postprocess(detections.json()["predictions"][0], dim)
     except Exception as error:
-        print("Failed request Tensorflow Serving /detector:predict", error)
+        print("Failed request Tensorflow Serving /custom-detector:predict", error)
         raise HTTPException(
             status_code=500,
-            detail="Failed request Tensorflow Serving /detector:predict",
+            detail="Failed request Tensorflow Serving /custom-detector:predict",
         )
 
 
-router = APIRouter(
-    prefix="/detect",
-    tags=["detect"],
-    responses={404: {"description": "Not found"}},
-)
-
-
 class RequestBody(BaseModel):
     image: str
 
 
-@router.post("/")
+@router.post("/detect")
 async def detect(request: RequestBody):
     try:
         id = generate()
diff --git a/server/routes/search.py b/server/routes/image/embedding.py
similarity index 82%
rename from server/routes/search.py
rename to server/routes/image/embedding.py
index 56eb813..8d4efeb 100644
--- a/server/routes/search.py
+++ b/server/routes/image/embedding.py
@@ -2,12 +2,14 @@
 import json
 import math
 from typing import List, Tuple
-from fastapi import APIRouter, HTTPException
+from fastapi import HTTPException
 from pydantic import BaseModel
 import httpx
 import numpy as np
 from PIL import Image
 
+from .router import router
+
 from server.core.config import config
 from server.utils.convertBoxFormat import convert_box_format
 from server.utils.imageLoad import image_load
@@ -38,7 +40,7 @@ async def predict(image: np.ndarray, boxes: list):
 
     try:
         detections = httpx.post(
-            f"{config.tensorflow_api_url}/v1/models/feature_extractor:predict",
+            f"{config.tensorflow_api_url}/v1/models/custom-embedder:predict",
             data=data,
         )
 
@@ -46,10 +48,10 @@ async def predict(image: np.ndarray, boxes: list):
 
         return embeddings
     except Exception as error:
-        print("Failed request Tensorflow Serving /feature_extractor:predict", error)
+        print("Failed request Tensorflow Serving /custom-embedder:predict", error)
         raise HTTPException(
             status_code=500,
-            detail="Failed request Tensorflow Serving /feature_extractor:predict",
+            detail="Failed request Tensorflow Serving /custom-embedder:predict",
         )
 
 
@@ -83,17 +85,9 @@ def process_box(box):
     return np.array(cropped_images)
 
 
-router = APIRouter(
-    prefix="/search",
-    tags=["search"],
-    responses={404: {"description": "Not found"}},
-)
-
-
 class Object(BaseModel):
     box: List[float]
     confidence: float
-    category: str
 
 
 class RequestBody(BaseModel):
@@ -101,16 +95,16 @@ class RequestBody(BaseModel):
     objects: List[Object]
 
 
-@router.post("/")
-async def search(request: RequestBody):
+@router.post("/embedding")
+async def get_embedding(request: RequestBody):
     try:
         image = image_load(request.id)
 
-        searches = await predict(
+        embeddings = await predict(
             image, list(map(lambda object: object.box, request.objects))
         )
 
-        return {"id": request.id, "searches": searches}
+        return {"id": request.id, "embeddings": embeddings}
     except HTTPException as error:
         print("API search POST", error)
         raise error
diff --git a/server/routes/omr.py b/server/routes/image/omr.py
similarity index 90%
rename from server/routes/omr.py
rename to server/routes/image/omr.py
index e0f9be0..3bc5efe 100644
--- a/server/routes/omr.py
+++ b/server/routes/image/omr.py
@@ -1,7 +1,9 @@
-from fastapi import APIRouter, HTTPException
+from fastapi import HTTPException
 from nanoid import generate
 from pydantic import BaseModel
 
+from .router import router
+
 from server.utils.base64ToArray import base64_to_array
 from server.utils.imageSave import image_save
 from server.utils.omrAlignCrop import align_crop
@@ -11,18 +13,12 @@
 from server.utils.omrExtractData import extract_data
 from server.utils.omrHighlights import get_highlights
 
-router = APIRouter(
-    prefix="/omr",
-    tags=["omr"],
-    responses={404: {"description": "Not found"}},
-)
-
 
 class RequestBody(BaseModel):
     image: str
 
 
-@router.post("/")
+@router.post("/omr")
 async def omr(request: RequestBody):
     try:
         id = generate()
diff --git a/server/routes/image/router.py b/server/routes/image/router.py
new file mode 100644
index 0000000..bedb0c0
--- /dev/null
+++ b/server/routes/image/router.py
@@ -0,0 +1,8 @@
+from fastapi import APIRouter
+
+
+router = APIRouter(
+    prefix="/image",
+    tags=["image"],
+    responses={404: {"description": "Not found"}},
+)
diff --git a/server/routes/text/__init__.py b/server/routes/text/__init__.py
new file mode 100644
index 0000000..1da65c6
--- /dev/null
+++ b/server/routes/text/__init__.py
@@ -0,0 +1,3 @@
+from . import embedding
+
+__all__ = [embedding]
diff --git a/server/routes/text/embedding.py b/server/routes/text/embedding.py
new file mode 100644
index 0000000..cfc1b9b
--- /dev/null
+++ b/server/routes/text/embedding.py
@@ -0,0 +1,33 @@
+from typing import List
+from fastapi import HTTPException
+from pydantic import BaseModel
+from transformers import AutoModel
+
+from .router import router
+
+model = AutoModel.from_pretrained("jinaai/jina-clip-v2", trust_remote_code=True)
+
+
+class RequestBody(BaseModel):
+    id: str
+    queries: List[str]
+
+
+@router.post("/embedding")
+async def get_embedding(request: RequestBody):
+    try:
+        truncate_dim = 512
+
+        embeddings = model.encode_text(request.queries, truncate_dim=truncate_dim)
+
+        return {
+            "id": request.id,
+            "embeddings": [[float(x) for x in embedding] for embedding in embeddings],
+        }
+        return
+    except HTTPException as error:
+        print("API similarity POST", error)
+        raise error
+    except Exception as error:
+        print("API similarity POST", error)
+        raise HTTPException(status_code=500, detail="Some Unknown Error Found")
diff --git a/server/routes/text/router.py b/server/routes/text/router.py
new file mode 100644
index 0000000..797a948
--- /dev/null
+++ b/server/routes/text/router.py
@@ -0,0 +1,8 @@
+from fastapi import APIRouter
+
+
+router = APIRouter(
+    prefix="/text",
+    tags=["text"],
+    responses={404: {"description": "Not found"}},
+)
diff --git a/uv.lock b/uv.lock
index 18c5a60..36dd91f 100644
--- a/uv.lock
+++ b/uv.lock
@@ -6,6 +6,24 @@ resolution-markers = [
     "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')",
 ]
 
+[[package]]
+name = "accelerate"
+version = "1.2.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "huggingface-hub" },
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "psutil" },
+    { name = "pyyaml" },
+    { name = "safetensors" },
+    { name = "torch" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/42/09/7947691b7d44bfc739da4a44cc47d6a6d75e6fe9adf047c5234d7cb6be64/accelerate-1.2.1.tar.gz", hash = "sha256:03e161fc69d495daf2b9b5c8d5b43d06e2145520c04727b5bda56d49f1a43ab5", size = 341652 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c2/60/a585c806d6c0ec5f8149d44eb202714792802f484e6e2b1bf96b23bd2b00/accelerate-1.2.1-py3-none-any.whl", hash = "sha256:be1cbb958cf837e7cdfbde46b812964b1b8ae94c9c7d94d921540beafcee8ddf", size = 336355 },
+]
+
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -54,6 +72,41 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/e6/2c/7c5b9ac70e7b6158874c1787bd6d1a52f91ff79e913cca0412fcc9b72795/changelog_gen-0.13.5-py3-none-any.whl", hash = "sha256:b972eb358237592efd7d2dd47bdc9d3251414bebe6662de5f444c059bddce6ab", size = 27495 },
 ]
 
+[[package]]
+name = "charset-normalizer"
+version = "3.4.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/16/b0/572805e227f01586461c80e0fd25d65a2115599cc9dad142fee4b747c357/charset_normalizer-3.4.1.tar.gz", hash = "sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3", size = 123188 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0a/9a/dd1e1cdceb841925b7798369a09279bd1cf183cef0f9ddf15a3a6502ee45/charset_normalizer-3.4.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:73d94b58ec7fecbc7366247d3b0b10a21681004153238750bb67bd9012414545", size = 196105 },
+    { url = "https://files.pythonhosted.org/packages/d3/8c/90bfabf8c4809ecb648f39794cf2a84ff2e7d2a6cf159fe68d9a26160467/charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dad3e487649f498dd991eeb901125411559b22e8d7ab25d3aeb1af367df5efd7", size = 140404 },
+    { url = "https://files.pythonhosted.org/packages/ad/8f/e410d57c721945ea3b4f1a04b74f70ce8fa800d393d72899f0a40526401f/charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c30197aa96e8eed02200a83fba2657b4c3acd0f0aa4bdc9f6c1af8e8962e0757", size = 150423 },
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+]
+
+[package.optional-dependencies]
+torch = [
+    { name = "accelerate" },
+    { name = "torch" },
+]
+
+[[package]]
+name = "triton"
+version = "3.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "filelock", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/78/eb/65f5ba83c2a123f6498a3097746607e5b2f16add29e36765305e4ac7fdd8/triton-3.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8182f42fd8080a7d39d666814fa36c5e30cc00ea7eeeb1a2983dbb4c99a0fdc", size = 209551444 },
+]
+
 [[package]]
 name = "typer"
 version = "0.15.1"
@@ -828,6 +1309,7 @@ name = "unai-api"
 version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
+    { name = "einops" },
     { name = "fastapi", extra = ["standard"] },
     { name = "httpx" },
     { name = "nanoid" },
@@ -837,6 +1319,8 @@ dependencies = [
     { name = "pydantic" },
     { name = "pydantic-settings" },
     { name = "scipy" },
+    { name = "timm" },
+    { name = "transformers", extra = ["torch"] },
 ]
 
 [package.dev-dependencies]
@@ -849,6 +1333,7 @@ dev = [
 
 [package.metadata]
 requires-dist = [
+    { name = "einops", specifier = ">=0.8.0" },
     { name = "fastapi", extras = ["standard"], specifier = ">=0.115.6" },
     { name = "httpx", specifier = ">=0.28.1" },
     { name = "nanoid", specifier = ">=2.0.0" },
@@ -858,16 +1343,27 @@ requires-dist = [
     { name = "pydantic", specifier = ">=2.10.4" },
     { name = "pydantic-settings", specifier = ">=2.7.0" },
     { name = "scipy", specifier = ">=1.14.1" },
+    { name = "timm", specifier = ">=1.0.12" },
+    { name = "transformers", extras = ["torch"], specifier = ">=4.47.1" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
     { name = "changelog-gen", specifier = ">=0.13.5" },
     { name = "pytest", specifier = ">=8.3.4" },
-    { name = "ruff", specifier = ">=0.8.3" },
+    { name = "ruff", specifier = ">=0.8.4" },
     { name = "taskipy", specifier = ">=1.14.1" },
 ]
 
+[[package]]
+name = "urllib3"
+version = "2.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/aa/63/e53da845320b757bf29ef6a9062f5c669fe997973f966045cb019c3f4b66/urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d", size = 307268 }
+wheels = [
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+]
+
 [[package]]
 name = "uvicorn"
 version = "0.34.0"