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2
.env.example
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@ -16,6 +16,8 @@ NUDGES_FLOW_ID=ebc01d31-1976-46ce-a385-b0240327226c
# Set a strong admin password for OpenSearch; a bcrypt hash is generated at
# container startup from this value. Do not commit real secrets.
# must match the hashed password in secureconfig, must change for secure deployment!!!
# NOTE: if you set this by hand, it must be a complex password:
The password must contain at least 8 characters, and must contain at least one uppercase letter, one lowercase letter, one digit, and one special character.
OPENSEARCH_PASSWORD=
# make here https://console.cloud.google.com/apis/credentials

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LICENSE Normal file
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@ -0,0 +1,201 @@
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6
docs/docs/core-components/ingestion.mdx
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@ -9,7 +9,7 @@ import TabItem from '@theme/TabItem';
import PartialModifyFlows from '@site/docs/_partial-modify-flows.mdx';
OpenRAG uses [Docling](https://docling-project.github.io/docling/) for its document ingestion pipeline.
More specifically, OpenRAG uses [Docling Serve](https://github.com/docling-project/docling-serve), which starts a `docling-serve` process on your local machine and runs Docling ingestion through an API service.
More specifically, OpenRAG uses [Docling Serve](https://github.com/docling-project/docling-serve), which starts a `docling serve` process on your local machine and runs Docling ingestion through an API service.
Docling ingests documents from your local machine or OAuth connectors, splits them into chunks, and stores them as separate, structured documents in the OpenSearch `documents` index.
@ -19,8 +19,8 @@ OpenRAG chose Docling for its support for a wide variety of file formats, high p
These settings configure the Docling ingestion parameters.
OpenRAG will warn you if `docling-serve` is not running.
To start or stop `docling-serve` or any other native services, in the TUI main menu, click **Start Native Services** or **Stop Native Services**.
OpenRAG will warn you if `docling serve` is not running.
To start or stop `docling serve` or any other native services, in the TUI main menu, click **Start Native Services** or **Stop Native Services**.
**Embedding model** determines which AI model is used to create vector embeddings. The default is `text-embedding-3-small`.

50
docs/docs/get-started/docker.mdx
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@ -12,6 +12,8 @@ They deploy the same applications and containers, but to different environments.
- [`docker-compose-cpu.yml`](https://github.com/langflow-ai/openrag/blob/main/docker-compose-cpu.yml) is a CPU-only version of OpenRAG for systems without GPU support. Use this Docker compose file for environments where GPU drivers aren't available.
Both Docker deployments depend on `docling serve` to be running on port `5001` on the host machine. This enables [Mac MLX](https://opensource.apple.com/projects/mlx/) support for document processing. Installing OpenRAG with the TUI starts `docling serve` automatically, but for a Docker deployment you must manually start the `docling serve` process.
## Prerequisites
- [Python Version 3.10 to 3.13](https://www.python.org/downloads/release/python-3100/)
@ -31,7 +33,12 @@ To install OpenRAG with Docker Compose, do the following:
cd openrag
```
2. Copy the example `.env` file included in the repository root.
2. Install dependencies.
```bash
uv sync
```
3. Copy the example `.env` file included in the repository root.
The example file includes all environment variables with comments to guide you in finding and setting their values.
```bash
cp .env.example .env
@ -42,7 +49,7 @@ To install OpenRAG with Docker Compose, do the following:
touch .env
```
3. Set environment variables. The Docker Compose files will be populated with values from your `.env`.
4. Set environment variables. The Docker Compose files will be populated with values from your `.env`.
The following values are **required** to be set:
```bash
@ -55,14 +62,35 @@ The following values are **required** to be set:
For more information on configuring OpenRAG with environment variables, see [Environment variables](/reference/configuration).
4. Deploy OpenRAG with Docker Compose based on your deployment type.
For GPU-enabled systems, run the following command:
5. Start `docling serve` on the host machine.
Both Docker deployments depend on `docling serve` to be running on port `5001` on the host machine. This enables [Mac MLX](https://opensource.apple.com/projects/mlx/) support for document processing.
```bash
uv run python scripts/docling_ctl.py start --port 5001
```
6. Confirm `docling serve` is running.
```
uv run python scripts/docling_ctl.py status
```
Successful result:
```bash
Status: running
Endpoint: http://127.0.0.1:5001
Docs: http://127.0.0.1:5001/docs
PID: 27746
```
7. Deploy OpenRAG with Docker Compose based on your deployment type.
For GPU-enabled systems, run the following commands:
```bash
docker compose build
docker compose up -d
```
For CPU-only systems, run the following command:
For environments without GPU support, run:
```bash
docker compose -f docker-compose-cpu.yml up -d
```
@ -76,7 +104,7 @@ The following values are **required** to be set:
| OpenSearch | http://localhost:9200 | Vector database for document storage. |
| OpenSearch Dashboards | http://localhost:5601 | Database administration interface. |
5. Verify installation by confirming all services are running.
8. Verify installation by confirming all services are running.
```bash
docker compose ps
@ -88,7 +116,13 @@ The following values are **required** to be set:
- **Backend API**: http://localhost:8000
- **Langflow**: http://localhost:7860
6. Continue with [Application Onboarding](#application-onboarding).
9. Continue with [Application Onboarding](#application-onboarding).
To stop `docling serve` when you're done with your OpenRAG deployment, run:
```bash
uv run python scripts/docling_ctl.py stop
```
<PartialOnboarding />

4
docs/docs/get-started/tui.mdx
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@ -51,9 +51,9 @@ If images are missing, the TUI runs `docker compose pull`, then runs `docker com
### Start native services
A "native" service in OpenRAG refers to a service run natively on your machine, and not within a container.
The `docling-serve` process is a native service in OpenRAG, because it's a document processing service that is run on your local machine, and controlled separately from the containers.
The `docling serve` process is a native service in OpenRAG, because it's a document processing service that is run on your local machine, and controlled separately from the containers.
To start or stop `docling-serve` or any other native services, in the TUI main menu, click **Start Native Services** or **Stop Native Services**.
To start or stop `docling serve` or any other native services, in the TUI main menu, click **Start Native Services** or **Stop Native Services**.
To view the status, port, or PID of a native service, in the TUI main menu, click [Status](#status).

2
docs/docs/reference/configuration.mdx
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@ -134,9 +134,11 @@ Configure general system components, session management, and logging.
|----------|---------|-------------|
| `LANGFLOW_KEY_RETRIES` | `15` | Number of retries for Langflow key generation. |
| `LANGFLOW_KEY_RETRY_DELAY` | `2.0` | Delay between retries in seconds. |
| `LANGFLOW_VERSION` | `latest` | Langflow Docker image version. |
| `LOG_FORMAT` | - | Log format (set to "json" for JSON output). |
| `LOG_LEVEL` | `INFO` | Logging level (DEBUG, INFO, WARNING, ERROR). |
| `MAX_WORKERS` | - | Maximum number of workers for document processing. |
| `OPENRAG_VERSION` | `latest` | OpenRAG Docker image version. |
| `SERVICE_NAME` | `openrag` | Service name for logging. |
| `SESSION_SECRET` | auto-generated | Session management. |