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adjust document for pgvector default
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README.md

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- Red Hat Openshift cluster running in AWS. Supported regions are : us-east-1 us-east-2 us-west-1 us-west-2 ca-central-1 sa-east-1 eu-west-1 eu-west-2 eu-west-3 eu-central-1 eu-north-1 ap-northeast-1 ap-northeast-2 ap-northeast-3 ap-southeast-1 ap-southeast-2 ap-south-1.
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- GPU Node to run Hugging Face Text Generation Inference server on Red Hat OpenShift cluster.
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- Create a fork of the [rag-llm-gitops](https://github.com/validatedpatterns/rag-llm-gitops.git) Git repository.
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- **EDB Postgres Operator Credentials** (Required for default database): The pattern uses the EDB Postgres for Kubernetes operator from the certified-operators catalog by default. This operator requires authentication to pull images from `docker.enterprisedb.com`. You will need to:
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- **EDB Postgres Operator Credentials** (Required only if you select EDB): The EDB Postgres for Kubernetes operator from the certified-operators catalog requires authentication to pull images from `docker.enterprisedb.com`. You will need to:
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1. Register for a free trial account at [EDB Registration](https://www.enterprisedb.com/accounts/register)
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2. Obtain your subscription token from [EDB Repos Downloads](https://www.enterprisedb.com/repos-downloads)
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3. Add the token to your `values-secret.yaml` file during configuration (see below)
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To deploy a model that can requires an Hugging Face token, grab the [Hugging Face token](https://huggingface.co/settings/tokens) and accept the terms and conditions on the model page. Edit ~/values-secret-rag-llm-gitops.yaml to replace the `model Id` and the `Hugging Face` token.
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**IMPORTANT**: If you are using the default EDB Postgres database (recommended), you must add your EDB subscription token to the `values-secret.yaml` file:
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**IMPORTANT**: If you are using EDB Postgres for Kubernetes, you must add your EDB subscription token to the `values-secret.yaml` file:
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```sh
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secrets:
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### Deploy application
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***Note:**: This pattern supports four types of vector databases: EDB Postgres for Kubernetes, PGVector (local chart), Elasticsearch, and Redis. By default the pattern will deploy EDB Postgres for Kubernetes as a vector DB. To deploy PGVector locally, set `global.db.type` to `pgvector` in [values-global.yaml](./values-global.yaml).
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***Note:**: This pattern supports four types of vector databases: PGVector (local chart), EDB Postgres for Kubernetes, Elasticsearch, and Redis. By default the pattern will deploy PGVector as a vector DB. To deploy EDB, set `global.db.type` to `EDB` in [values-global.yaml](./values-global.yaml).
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```yaml
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---
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# Possible value for db.type = [REDIS, EDB, ELASTIC, pgvector]
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db:
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index: docs
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type: EDB # <--- Default is EDB. Use REDIS, ELASTIC, or pgvector as needed.
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type: pgvector # <--- Default is pgvector. Use EDB, REDIS, or ELASTIC as needed.
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main:
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clusterGroupName: hub
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multiSourceConfig:

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