> ## Documentation Index
> Fetch the complete documentation index at: https://docs.unstructured.io/llms.txt
> Use this file to discover all available pages before exploring further.
# Qdrant
Batch process all your records to store structured outputs in Qdrant.
The requirements are as follows.
* For the [Unstructured UI](/ui/overview) or the [Unstructured API](/api-reference/overview), only [Qdrant Cloud](https://qdrant.tech/documentation/cloud-intro/) is supported.
* For [Unstructured Ingest](/open-source/ingestion/overview), Qdrant Cloud,
[Qdrant local](https://github.com/qdrant/qdrant), and [Qdrant client-server](https://qdrant.tech/documentation/quickstart/) are supported.
The following video shows how to set up Qdrant Cloud:
* For Qdrant local, the path to the local Qdrant installation, for example: `/qdrant/local`
* For Qdrant client-server, the Qdrant server URL, for example: `http://localhost:6333`
* For Qdrant Cloud:
* A [Qdrant account](https://cloud.qdrant.io/login).
* A [Qdrant cluster](https://qdrant.tech/documentation/cloud/create-cluster/).
* The cluster's URL. To get this URL, do the following:
1. Sign in to your Qdrant Cloud account.
2. On the sidebar, under **Dashboard**, click **Clusters**.
3. Click the cluster's name.
4. Note the value of the **Endpoint** field, for example: `https://...cloud.qdrant.io`.
* A [Qdrant API key](https://qdrant.tech/documentation/cloud/authentication/#create-api-keys).
* The name of the target [collection](https://qdrant.tech/documentation/concepts/collections) on the Qdrant local installation,
Qdrant server, or Qdrant Cloud cluster.
Qdrant requires the target collection to exist before Unstructured can write to the collection.
The following example code demonstrates the use of the [Python Qdrant Client](https://pypi.org/project/qdrant-client/) to create
a collection on a Qdrant Cloud cluster, configuring the collection for vectors with 3072 dimensions:
```python Python theme={null}
from qdrant_client import QdrantClient, models
import os
client = QdrantClient(
url=os.getenv("QDRANT_URL"),
api_key=os.getenv("QDRANT_API_KEY")
)
client.create_collection(
collection_name=os.getenv("QDRANT_COLLECTION"),
vectors_config=models.VectorParams(
size=3072,
distance=models.Distance.COSINE
)
)
collection = client.get_collection(
collection_name=os.getenv("QDRANT_COLLECTION")
)
print(f"The collection named '{os.getenv("QDRANT_COLLECTION")}' exists and " +
f"has a status of '{collection.status}'.")
```
The Qdrant connector dependencies.
```bash theme={null}
pip install "unstructured-ingest[qdrant]"
```
You might also need to install additional dependencies, depending on your needs. [Learn more](/open-source/ingestion/ingest-dependencies).
The following environment variables:
* `QDRANT_COLLECTION` - The name of the target collection on the Qdrant local installation,
Qdrant server, or Qdrant Cloud cluster, represented by `--collection-name` (CLI) or `collection_name` (Python).
* For Qdrant local, `QDRANT_PATH` - The path to the local Qdrant installation, represented by `--path` (CLI) or `path` (Python).
* For Qdrant client-server, `QDRANT_URL` - The Qdrant server's URL, represented by `--url` (CLI) or `url` (Python).
* For Qdrant Cloud:
* `QDRANT_URL` - The Qdrant cluster's URL, represented by `--url` (CLI) or `url` (Python).
* `QDRANT_API_KEY` - The Qdrant API key, represented by `--api-key` (CLI) or `api_key` (Python).
Now call the Unstructured CLI or Python SDK. The source connector can be any of the ones supported.
This example uses the local source connector.
This example sends files to Unstructured for processing by default. To process files locally instead, see the instructions at the end of this page.
```bash CLI theme={null}
#!/usr/bin/env bash
# Chunking and embedding are optional.
# For Qdrant local:
unstructured-ingest \
local \
--input-path $LOCAL_FILE_INPUT_DIR \
--chunking-strategy by_title \
--embedding-provider huggingface \
--partition-by-api \
--api-key $UNSTRUCTURED_API_KEY \
--partition-endpoint $UNSTRUCTURED_API_URL \
--additional-partition-args="{\"split_pdf_page\":\"true\", \"split_pdf_allow_failed\":\"true\", \"split_pdf_concurrency_level\": 15}" \
qdrant-local \
--path $QDRANT_PATH \
--collection-name $QDRANT_COLLECTION \
--batch-size 50 \
--num-processes 1
# For Qdrant client-server:
unstructured-ingest \
local \
--input-path $LOCAL_FILE_INPUT_DIR \
--chunking-strategy by_title \
--embedding-provider huggingface \
--partition-by-api \
--api-key $UNSTRUCTURED_API_KEY \
--partition-endpoint $UNSTRUCTURED_API_URL \
--additional-partition-args="{\"split_pdf_page\":\"true\", \"split_pdf_allow_failed\":\"true\", \"split_pdf_concurrency_level\": 15}" \
qdrant-server \
--url $QDRANT_URL \
--collection-name $QDRANT_COLLECTION \
--batch-size 50 \
--num-processes 1
# For Qdrant cloud:
unstructured-ingest \
local \
--input-path $LOCAL_FILE_INPUT_DIR \
--chunking-strategy by_title \
--embedding-provider huggingface \
--partition-by-api \
--api-key $UNSTRUCTURED_API_KEY \
--partition-endpoint $UNSTRUCTURED_API_URL \
--additional-partition-args="{\"split_pdf_page\":\"true\", \"split_pdf_allow_failed\":\"true\", \"split_pdf_concurrency_level\": 15}" \
qdrant-cloud \
--url $QDRANT_URL \
--api-key $QDRANT_API_KEY \
--collection-name $QDRANT_COLLECTION \
--batch-size 50 \
--num-processes 1
```
```python Python Ingest theme={null}
import os
from unstructured_ingest.pipeline.pipeline import Pipeline
from unstructured_ingest.interfaces import ProcessorConfig
from unstructured_ingest.processes.connectors.local import (
LocalIndexerConfig,
LocalDownloaderConfig,
LocalConnectionConfig
)
from unstructured_ingest.processes.partitioner import PartitionerConfig
from unstructured_ingest.processes.chunker import ChunkerConfig
from unstructured_ingest.processes.embedder import EmbedderConfig
# For Qdrant local:
# from unstructured_ingest.processes.connectors.qdrant.local import (
# LocalQdrantConnectionConfig,
# LocalQdrantAccessConfig,
# LocalQdrantUploadStagerConfig,
# LocalQdrantUploaderConfig
# )
# For Qdrant client-server:
# from unstructured_ingest.processes.connectors.qdrant.server import (
# ServerQdrantConnectionConfig,
# ServerQdrantAccessConfig,
# ServerQdrantUploadStagerConfig,
# ServerQdrantUploaderConfig
# )
# For Qdrant Cloud:
from unstructured_ingest.processes.connectors.qdrant.cloud import (
CloudQdrantConnectionConfig,
CloudQdrantAccessConfig,
CloudQdrantUploadStagerConfig,
CloudQdrantUploaderConfig
)
# Chunking and embedding are optional.
if __name__ == "__main__":
Pipeline.from_configs(
context=ProcessorConfig(),
indexer_config=LocalIndexerConfig(input_path=os.getenv("LOCAL_FILE_INPUT_DIR")),
downloader_config=LocalDownloaderConfig(),
source_connection_config=LocalConnectionConfig(),
partitioner_config=PartitionerConfig(
partition_by_api=True,
api_key=os.getenv("UNSTRUCTURED_API_KEY"),
partition_endpoint=os.getenv("UNSTRUCTURED_API_URL"),
additional_partition_args={
"split_pdf_page": True,
"split_pdf_allow_failed": True,
"split_pdf_concurrency_level": 15
}
),
chunker_config=ChunkerConfig(chunking_strategy="by_title"),
embedder_config=EmbedderConfig(embedding_provider="huggingface"),
# For Qdrant local:
# destination_connection_config=LocalQdrantConnectionConfig(
# access_config=LocalQdrantAccessConfig(),
# path=os.getenv("QDRANT_PATH")
# ),
# stager_config=LocalQdrantUploadStagerConfig(),
# uploader_config=LocalQdrantUploaderConfig(
# collection_name=os.getenv("QDRANT_COLLECTION"),
# batch_size=50,
# num_processes=1
# )
# For Qdrant client-server:
# destination_connection_config=ServerQdrantConnectionConfig(
# access_config=ServerQdrantAccessConfig(),
# url=os.getenv("QDRANT_URL")
# ),
# stager_config=ServerQdrantUploadStagerConfig(),
# uploader_config=ServerQdrantUploaderConfig(
# collection_name=os.getenv("QDRANT_COLLECTION"),
# batch_size=50,
# num_processes=1
# )
# For Qdrant cloud:
destination_connection_config=CloudQdrantConnectionConfig(
access_config=CloudQdrantAccessConfig(
api_key=os.getenv("QDRANT_API_KEY")
),
url=os.getenv("QDRANT_URL")
),
stager_config=CloudQdrantUploadStagerConfig(),
uploader_config=CloudQdrantUploaderConfig(
collection_name=os.getenv("QDRANT_COLLECTION"),
batch_size=50,
num_processes=1
)
).run()
```
For the Unstructured Ingest CLI and the Unstructured Ingest Python library, you can use the `--partition-by-api` option (CLI) or `partition_by_api` (Python) parameter to specify where files are processed:
* To do local file processing, omit `--partition-by-api` (CLI) or `partition_by_api` (Python), or explicitly specify `partition_by_api=False` (Python).
Local file processing does not use an Unstructured API key or API URL, so you can also omit the following, if they appear:
* `--api-key $UNSTRUCTURED_API_KEY` (CLI) or `api_key=os.getenv("UNSTRUCTURED_API_KEY")` (Python)
* `--partition-endpoint $UNSTRUCTURED_API_URL` (CLI) or `partition_endpoint=os.getenv("UNSTRUCTURED_API_URL")` (Python)
* The environment variables `UNSTRUCTURED_API_KEY` and `UNSTRUCTURED_API_URL`
* To send files to the legacy [Unstructured Partition Endpoint](/api-reference/legacy-api/partition/overview) for processing, specify `--partition-by-api` (CLI) or `partition_by_api=True` (Python).
Unstructured also requires an Unstructured API key and API URL, by adding the following:
* `--api-key $UNSTRUCTURED_API_KEY` (CLI) or `api_key=os.getenv("UNSTRUCTURED_API_KEY")` (Python)
* `--partition-endpoint $UNSTRUCTURED_API_URL` (CLI) or `partition_endpoint=os.getenv("UNSTRUCTURED_API_URL")` (Python)
* The environment variables `UNSTRUCTURED_API_KEY` and `UNSTRUCTURED_API_URL`, representing your API key and API URL, respectively.
You must specify the API URL only if you are not using the default API URL for Unstructured Ingest, which applies to **Let's Go**, **Pay-As-You-Go**, and **Business SaaS** accounts.
The default API URL for Unstructured Ingest is `https://api.unstructuredapp.io/general/v0/general`, which is the API URL for the legacy [Unstructured Partition Endpoint](/api-reference/legacy-api/partition/overview). However, you should always use the URL that was provided to you when your Unstructured account was created. If you do not have this URL, email Unstructured Support at [support@unstructured.io](mailto:support@unstructured.io).
If you do not have an API key, [get one now](/api-reference/legacy-api/partition/overview).
If you are using a **Business** account, the process
for generating Unstructured API keys, and the Unstructured API URL that you use, are different.
For instructions, see your Unstructured account administrator, or email Unstructured Support at [support@unstructured.io](mailto:support@unstructured.io).