diff --git a/comps/__init__.py b/comps/__init__.py
index d3f2878165..5737087340 100644
--- a/comps/__init__.py
+++ b/comps/__init__.py
@@ -22,6 +22,7 @@
     LLMParamsDoc,
     SearchedDoc,
     TextDoc,
+    DocPath,
 )
 
 # Microservice
diff --git a/comps/cores/proto/docarray.py b/comps/cores/proto/docarray.py
index 05c2556c6d..e4b3030241 100644
--- a/comps/cores/proto/docarray.py
+++ b/comps/cores/proto/docarray.py
@@ -29,6 +29,10 @@ class Base64ByteStrDoc(BaseDoc):
     byte_str: str
 
 
+class DocPath(BaseDoc):
+    path: str
+
+
 class EmbedDoc768(BaseDoc):
     text: str
     embedding: conlist(float, min_length=768, max_length=768)
diff --git a/comps/dataprep/langchain/qdrant/README.md b/comps/dataprep/langchain/qdrant/README.md
new file mode 100644
index 0000000000..428a18e35b
--- /dev/null
+++ b/comps/dataprep/langchain/qdrant/README.md
@@ -0,0 +1,49 @@
+# 🚀Start Microservice with Python
+
+## Install Requirements
+
+```bash
+pip install -r requirements.txt
+```
+
+## Start Qdrant server
+
+Please refer to this [readme](../../../vectorstores/langchain/qdrant/README.md).
+
+## Start document preparation microservice for Qdrant with Python Script
+
+Start document preparation microservice for Qdrant with below command.
+
+```bash
+python prepare_doc_qdrant.py
+```
+
+# 🚀Start Microservice with Docker
+
+## Build Docker Image
+
+```bash
+cd ../../
+docker build -t opea/gen-ai-comps:dataprep-qdrant-xeon-server --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/dataprep/langchain/qdrant/docker/Dockerfile .
+```
+
+## Run Docker with CLI
+
+```bash
+docker run -d --name="dataprep-qdrant-server" -p 8000:8000 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy opea/gen-ai-comps:dataprep-qdrant-xeon-server
+```
+
+## Run Docker with Docker Compose
+
+```bash
+cd docker
+docker compose -f docker-compose-dataprep-qdrant.yaml up -d
+```
+
+# Invoke Microservices
+
+Once document preparation microservice for Qdrant is started, user can use below command to invoke the microservice to convert the document to embedding and save to the database.
+
+```bash
+curl -X POST -H "Content-Type: application/json" -d '{"path":"/path/to/document"}' http://localhost:6000/v1/dataprep
+```
diff --git a/comps/dataprep/langchain/qdrant/__init__.py b/comps/dataprep/langchain/qdrant/__init__.py
new file mode 100644
index 0000000000..28f108cb63
--- /dev/null
+++ b/comps/dataprep/langchain/qdrant/__init__.py
@@ -0,0 +1,13 @@
+# Copyright (c) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
diff --git a/comps/dataprep/langchain/qdrant/config.py b/comps/dataprep/langchain/qdrant/config.py
new file mode 100644
index 0000000000..c6301dfb9e
--- /dev/null
+++ b/comps/dataprep/langchain/qdrant/config.py
@@ -0,0 +1,28 @@
+# Copyright (c) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+
+# Embedding model
+EMBED_MODEL = os.getenv("EMBED_MODEL", "sentence-transformers/all-MiniLM-L6-v2")
+
+# Qdrant configuration
+QDRANT_HOST = os.getenv("QDRANT", "localhost")
+QDRANT_PORT = int(os.getenv("QDRANT_PORT", 6333))
+COLLECTION_NAME = os.getenv("COLLECTION_NAME", "rag-qdrant")
+
+# LLM/Embedding endpoints
+TGI_LLM_ENDPOINT = os.getenv("TGI_LLM_ENDPOINT", "http://localhost:8080")
+TGI_LLM_ENDPOINT_NO_RAG = os.getenv("TGI_LLM_ENDPOINT_NO_RAG", "http://localhost:8081")
+TEI_EMBEDDING_ENDPOINT = os.getenv("TEI_ENDPOINT")
diff --git a/comps/dataprep/langchain/qdrant/docker/Dockerfile b/comps/dataprep/langchain/qdrant/docker/Dockerfile
new file mode 100644
index 0000000000..ca16698e03
--- /dev/null
+++ b/comps/dataprep/langchain/qdrant/docker/Dockerfile
@@ -0,0 +1,40 @@
+# Copyright (c) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+FROM python:3.11-slim
+
+ENV LANG C.UTF-8
+
+RUN apt-get update -y && apt-get install -y --no-install-recommends --fix-missing \
+    libgl1-mesa-glx \
+    libjemalloc-dev \
+    vim
+
+RUN useradd -m -s /bin/bash user && \
+    mkdir -p /home/user && \
+    chown -R user /home/user/
+
+USER user
+
+COPY comps /home/user/comps
+
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r /home/user/comps/dataprep/langchain/requirements.txt
+
+ENV PYTHONPATH=$PYTHONPATH:/home/user
+
+WORKDIR /home/user/comps/dataprep/langchain/redis
+
+ENTRYPOINT ["python", "prepare_doc_redis.py"]
+
diff --git a/comps/dataprep/langchain/qdrant/docker/docker-compose-dataprep-qdrant.yml b/comps/dataprep/langchain/qdrant/docker/docker-compose-dataprep-qdrant.yml
new file mode 100644
index 0000000000..9a4f0a06fc
--- /dev/null
+++ b/comps/dataprep/langchain/qdrant/docker/docker-compose-dataprep-qdrant.yml
@@ -0,0 +1,22 @@
+# Copyright (c) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+version: "3"
+services:
+  qdrant-vector-db:
+    image: qdrant/qdrant
+    container_name: qdrant-vector-db
+    ports:
+      - "6333:6333"
+      - "6334:6334"
diff --git a/comps/dataprep/langchain/qdrant/prepare_doc_qdrant.py b/comps/dataprep/langchain/qdrant/prepare_doc_qdrant.py
new file mode 100644
index 0000000000..917d7b8a29
--- /dev/null
+++ b/comps/dataprep/langchain/qdrant/prepare_doc_qdrant.py
@@ -0,0 +1,72 @@
+# Copyright (c) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+
+from config import COLLECTION_NAME, EMBED_MODEL, QDRANT_HOST, QDRANT_PORT
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain_community.embeddings import HuggingFaceBgeEmbeddings, HuggingFaceEmbeddings, HuggingFaceHubEmbeddings
+from langchain_community.vectorstores import Qdrant
+
+from comps import DocPath, opea_microservices, register_microservice
+from comps.dataprep.langchain.utils import docment_loader
+
+tei_embedding_endpoint = os.getenv("TEI_ENDPOINT")
+
+
+@register_microservice(
+    name="opea_service@prepare_doc_qdrant",
+    expose_endpoint="/v1/dataprep",
+    host="0.0.0.0",
+    port=6000,
+    input_datatype=DocPath,
+    output_datatype=None,
+)
+def ingest_documents(doc_path: DocPath):
+    """Ingest document to Qdrant."""
+    doc_path = doc_path.path
+    print(f"Parsing document {doc_path}.")
+
+    text_splitter = RecursiveCharacterTextSplitter(chunk_size=1500, chunk_overlap=100, add_start_index=True)
+    content = docment_loader(doc_path)
+    chunks = text_splitter.split_text(content)
+
+    print("Done preprocessing. Created ", len(chunks), " chunks of the original pdf")
+    # Create vectorstore
+    if tei_embedding_endpoint:
+        # create embeddings using TEI endpoint service
+        embedder = HuggingFaceHubEmbeddings(model=tei_embedding_endpoint)
+    else:
+        # create embeddings using local embedding model
+        embedder = HuggingFaceBgeEmbeddings(model_name=EMBED_MODEL)
+
+    # Batch size
+    batch_size = 32
+    num_chunks = len(chunks)
+    for i in range(0, num_chunks, batch_size):
+        batch_chunks = chunks[i : i + batch_size]
+        batch_texts = batch_chunks
+
+        _ = Qdrant.from_texts(
+            texts=batch_texts,
+            embedding=embedder,
+            collection_name=COLLECTION_NAME,
+            host=QDRANT_HOST,
+            port=QDRANT_PORT,
+        )
+        print(f"Processed batch {i//batch_size + 1}/{(num_chunks-1)//batch_size + 1}")
+
+
+if __name__ == "__main__":
+    opea_microservices["opea_service@prepare_doc_qdrant"].start()
diff --git a/comps/dataprep/langchain/qdrant/requirements.txt b/comps/dataprep/langchain/qdrant/requirements.txt
new file mode 100644
index 0000000000..5513f7b540
--- /dev/null
+++ b/comps/dataprep/langchain/qdrant/requirements.txt
@@ -0,0 +1,10 @@
+docarray[full]
+easyocr
+fastapi
+fitz
+huggingface_hub
+langchain
+numpy
+Pillow
+sentence_transformers
+shortuuid
diff --git a/comps/dataprep/langchain/redis/README.md b/comps/dataprep/langchain/redis/README.md
new file mode 100644
index 0000000000..76e6a4314f
--- /dev/null
+++ b/comps/dataprep/langchain/redis/README.md
@@ -0,0 +1,49 @@
+# 🚀Start Microservice with Python
+
+## Install Requirements
+
+```bash
+pip install -r requirements.txt
+```
+
+## Start Redis Stack Server
+
+Please refer to this [readme](../../../vectorstores/langchain/redis/README.md).
+
+## Start Document Preparation Microservice for Redis with Python Script
+
+Start document preparation microservice for Redis with below command.
+
+```bash
+python prepare_doc_redis.py
+```
+
+# 🚀Start Microservice with Docker
+
+## Build Docker Image
+
+```bash
+cd ../../
+docker build -t opea/gen-ai-comps:dataprep-redis-xeon-server --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/dataprep/langchain/redis/docker/Dockerfile .
+```
+
+## Run Docker with CLI
+
+```bash
+docker run -d --name="dataprep-redis-server" -p 8000:8000 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy opea/gen-ai-comps:dataprep-redis-xeon-server
+```
+
+## Run Docker with Docker Compose
+
+```bash
+cd docker
+docker compose -f docker-compose-dataprep-redis.yaml up -d
+```
+
+# Invoke Microservices
+
+Once document preparation microservice for Redis is started, user can use below command to invoke the microservice to convert the document to embedding and save to the database.
+
+```bash
+curl -X POST -H "Content-Type: application/json" -d '{"path":"/path/to/document"}' http://localhost:6000/v1/dataprep
+```
diff --git a/comps/dataprep/langchain/redis/__init__.py b/comps/dataprep/langchain/redis/__init__.py
new file mode 100644
index 0000000000..28f108cb63
--- /dev/null
+++ b/comps/dataprep/langchain/redis/__init__.py
@@ -0,0 +1,13 @@
+# Copyright (c) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
diff --git a/comps/vectorstores/langchain/redis/config.py b/comps/dataprep/langchain/redis/config.py
similarity index 100%
rename from comps/vectorstores/langchain/redis/config.py
rename to comps/dataprep/langchain/redis/config.py
diff --git a/comps/dataprep/langchain/redis/docker/Dockerfile b/comps/dataprep/langchain/redis/docker/Dockerfile
new file mode 100644
index 0000000000..ca16698e03
--- /dev/null
+++ b/comps/dataprep/langchain/redis/docker/Dockerfile
@@ -0,0 +1,40 @@
+# Copyright (c) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+FROM python:3.11-slim
+
+ENV LANG C.UTF-8
+
+RUN apt-get update -y && apt-get install -y --no-install-recommends --fix-missing \
+    libgl1-mesa-glx \
+    libjemalloc-dev \
+    vim
+
+RUN useradd -m -s /bin/bash user && \
+    mkdir -p /home/user && \
+    chown -R user /home/user/
+
+USER user
+
+COPY comps /home/user/comps
+
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r /home/user/comps/dataprep/langchain/requirements.txt
+
+ENV PYTHONPATH=$PYTHONPATH:/home/user
+
+WORKDIR /home/user/comps/dataprep/langchain/redis
+
+ENTRYPOINT ["python", "prepare_doc_redis.py"]
+
diff --git a/comps/dataprep/langchain/redis/docker/docker-compose-dataprep-redis.yml b/comps/dataprep/langchain/redis/docker/docker-compose-dataprep-redis.yml
new file mode 100644
index 0000000000..efabd8cbf1
--- /dev/null
+++ b/comps/dataprep/langchain/redis/docker/docker-compose-dataprep-redis.yml
@@ -0,0 +1,32 @@
+# Copyright (c) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+version: "3"
+services:
+  redis-vector-db:
+    image: redis/redis-stack:7.2.0-v9
+    container_name: redis-vector-db
+    ports:
+      - "6379:6379"
+      - "8001:8001"
+  dataprep-redis:
+    image: opea/gen-ai-comps:dataprep-redis-xeon-server
+    container_name: dataprep-redis-server
+    ports:
+      - "8000:8000"
+    ipc: host
+    environment:
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+    restart: unless-stopped
diff --git a/comps/dataprep/langchain/redis/prepare_doc_redis.py b/comps/dataprep/langchain/redis/prepare_doc_redis.py
new file mode 100644
index 0000000000..1ad3f3c065
--- /dev/null
+++ b/comps/dataprep/langchain/redis/prepare_doc_redis.py
@@ -0,0 +1,72 @@
+# Copyright (c) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+
+from config import EMBED_MODEL, INDEX_NAME, INDEX_SCHEMA, REDIS_URL
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain_community.embeddings import HuggingFaceBgeEmbeddings, HuggingFaceEmbeddings, HuggingFaceHubEmbeddings
+from langchain_community.vectorstores import Redis
+
+from comps import DocPath, opea_microservices, register_microservice
+from comps.dataprep.langchain.utils import docment_loader
+
+tei_embedding_endpoint = os.getenv("TEI_ENDPOINT")
+
+
+@register_microservice(
+    name="opea_service@prepare_doc_redis",
+    expose_endpoint="/v1/dataprep",
+    host="0.0.0.0",
+    port=6000,
+    input_datatype=DocPath,
+    output_datatype=None,
+)
+def ingest_documents(doc_path: DocPath):
+    """Ingest document to Redis."""
+    doc_path = doc_path.path
+    print(f"Parsing document {doc_path}.")
+
+    text_splitter = RecursiveCharacterTextSplitter(chunk_size=1500, chunk_overlap=100, add_start_index=True)
+    content = docment_loader(doc_path)
+    chunks = text_splitter.split_text(content)
+
+    print("Done preprocessing. Created ", len(chunks), " chunks of the original pdf")
+    # Create vectorstore
+    if tei_embedding_endpoint:
+        # create embeddings using TEI endpoint service
+        embedder = HuggingFaceHubEmbeddings(model=tei_embedding_endpoint)
+    else:
+        # create embeddings using local embedding model
+        embedder = HuggingFaceBgeEmbeddings(model_name=EMBED_MODEL)
+
+    # Batch size
+    batch_size = 32
+    num_chunks = len(chunks)
+    for i in range(0, num_chunks, batch_size):
+        batch_chunks = chunks[i : i + batch_size]
+        batch_texts = batch_chunks
+
+        _ = Redis.from_texts(
+            texts=batch_texts,
+            embedding=embedder,
+            index_name=INDEX_NAME,
+            index_schema=INDEX_SCHEMA,
+            redis_url=REDIS_URL,
+        )
+        print(f"Processed batch {i//batch_size + 1}/{(num_chunks-1)//batch_size + 1}")
+
+
+if __name__ == "__main__":
+    opea_microservices["opea_service@prepare_doc_redis"].start()
diff --git a/comps/dataprep/langchain/redis/requirements.txt b/comps/dataprep/langchain/redis/requirements.txt
new file mode 100644
index 0000000000..5513f7b540
--- /dev/null
+++ b/comps/dataprep/langchain/redis/requirements.txt
@@ -0,0 +1,10 @@
+docarray[full]
+easyocr
+fastapi
+fitz
+huggingface_hub
+langchain
+numpy
+Pillow
+sentence_transformers
+shortuuid
diff --git a/comps/vectorstores/langchain/redis/schema.yml b/comps/dataprep/langchain/redis/schema.yml
similarity index 100%
rename from comps/vectorstores/langchain/redis/schema.yml
rename to comps/dataprep/langchain/redis/schema.yml
diff --git a/comps/vectorstores/langchain/redis/schema_dim_1024.yml b/comps/dataprep/langchain/redis/schema_dim_1024.yml
similarity index 100%
rename from comps/vectorstores/langchain/redis/schema_dim_1024.yml
rename to comps/dataprep/langchain/redis/schema_dim_1024.yml
diff --git a/comps/vectorstores/langchain/redis/schema_dim_768.yml b/comps/dataprep/langchain/redis/schema_dim_768.yml
similarity index 100%
rename from comps/vectorstores/langchain/redis/schema_dim_768.yml
rename to comps/dataprep/langchain/redis/schema_dim_768.yml
diff --git a/comps/vectorstores/langchain/redis/schema_lcdocs_dim_768.yml b/comps/dataprep/langchain/redis/schema_lcdocs_dim_768.yml
similarity index 100%
rename from comps/vectorstores/langchain/redis/schema_lcdocs_dim_768.yml
rename to comps/dataprep/langchain/redis/schema_lcdocs_dim_768.yml
diff --git a/comps/dataprep/langchain/utils.py b/comps/dataprep/langchain/utils.py
new file mode 100644
index 0000000000..c380a23d47
--- /dev/null
+++ b/comps/dataprep/langchain/utils.py
@@ -0,0 +1,61 @@
+# Copyright (c) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import io
+
+import numpy as np
+from PIL import Image
+
+
+def pdf_loader(file_path):
+    try:
+        import easyocr
+        import fitz
+    except ImportError:
+        raise ImportError(
+            "`PyMuPDF` or 'easyocr' package is not found, please install it with " "`pip install pymupdf easyocr.`"
+        )
+
+    doc = fitz.open(file_path)
+    reader = easyocr.Reader(["en"])
+    result = ""
+    for i in range(doc.page_count):
+        page = doc.load_page(i)
+        pagetext = page.get_text().strip()
+        if pagetext:
+            result = result + pagetext
+        if len(doc.get_page_images(i)) > 0:
+            for img in doc.get_page_images(i):
+                if img:
+                    pageimg = ""
+                    xref = img[0]
+                    img_data = doc.extract_image(xref)
+                    img_bytes = img_data["image"]
+                    pil_image = Image.open(io.BytesIO(img_bytes))
+                    img = np.array(pil_image)
+                    img_result = reader.readtext(img, paragraph=True, detail=0)
+                    pageimg = pageimg + ", ".join(img_result).strip()
+                    if pageimg.endswith("!") or pageimg.endswith("?") or pageimg.endswith("."):
+                        pass
+                    else:
+                        pageimg = pageimg + "."
+                result = result + pageimg
+    return result
+
+
+def docment_loader(doc_path):
+    if doc_path.endswith(".pdf"):
+        return pdf_loader(doc_path)
+    else:
+        raise NotImplementedError("Current only support pdf format.")
diff --git a/comps/vectorstores/langchain/qdrant/README.md b/comps/vectorstores/langchain/qdrant/README.md
index e69de29bb2..518c3fd859 100644
--- a/comps/vectorstores/langchain/qdrant/README.md
+++ b/comps/vectorstores/langchain/qdrant/README.md
@@ -0,0 +1,13 @@
+# Start Qdrant server
+
+## 1. Download Qdrant image
+
+```bash
+docker pull qdrant/qdrant
+```
+
+## 2. Run Qdrant service
+
+```bash
+docker run -p 6333:6333 -p 6334:6334 -v $(pwd)/qdrant_storage:/qdrant/storage:z qdrant/qdrant
+```
diff --git a/comps/vectorstores/langchain/redis/README.md b/comps/vectorstores/langchain/redis/README.md
index e69de29bb2..246f304ad2 100644
--- a/comps/vectorstores/langchain/redis/README.md
+++ b/comps/vectorstores/langchain/redis/README.md
@@ -0,0 +1,13 @@
+# Start Redis server
+
+## 1. Download Redis image
+
+```bash
+docker pull redis/redis-stack:7.2.0-v9
+```
+
+## 2. Run Redis service
+
+```bash
+docker run -p 6379:6379 -p 8001:8001 redis/redis-stack:7.2.0-v9
+```