Release v0.2.30

deploy/helm/rag/Chart.yaml

@@ -2,8 +2,8 @@ apiVersion: v2
 name: rag
 description: A Helm chart for Kubernetes
 type: application
-version: 0.2.29
-appVersion: "0.2.29"
+version: 0.2.30
+appVersion: "0.2.30"
 
 dependencies:
   - name: pgvector

deploy/helm/rag/values.yaml

@@ -3,7 +3,7 @@ replicaCount: 1
 image:
   repository: quay.io/rh-ai-quickstart/llamastack-dist-ui
   pullPolicy: Always
-  tag: 0.2.29
+  tag: 0.2.30
 
 service:
   type: ClusterIP
@@ -136,14 +136,6 @@ pgvector:
     dbname: rag_blueprint
     host: pgvector
     port: "5432"
-
-minio:
-  enabled: true
-  secret:
-    user: minio_rag_user
-    password: minio_rag_password
-    host: minio
-    port: "9000"
 
     # Upload sample files to the minio bucket 
   sampleFileUpload:
@@ -162,12 +154,19 @@ llama-stack:
 
 configure-pipeline:
   enabled: true
-
-ingestion-pipeline:
-  enabled: true
-  serviceAccount:
-    create: true
-    name: rag-pipeline-notebook
+  minio:
+    secret:
+      user: minio_rag_user
+      password: minio_rag_password
+      host: minio
+      port: "9000"
+    sampleFileUpload:
+      enabled: true
+      bucket: documents
+      urls: 
+      - https://raw.githubusercontent.com/rh-ai-quickstart/RAG/refs/heads/main/notebooks/Zippity_Zoo_Grand_Invention.pdf
+      - https://raw.githubusercontent.com/rh-ai-quickstart/RAG/refs/heads/main/notebooks/Zippity_Zoo_and_the_Town_of_Tumble_Town.pdf
+      - https://raw.githubusercontent.com/rh-ai-quickstart/RAG/refs/heads/main/notebooks/Zippity_Zoo_and_the_Town_of_Whispering_Willows.pdf
 
 mcp-servers:
   enabled: true
@@ -217,23 +216,76 @@ suggestedQuestions:
     - "How do I install Linux on TechGear Pro Laptop?"
     - "Where can I find video drivers for TechGear Pro?"
 
-# ingestion-pipeline:
-#   defaultPipeline:
-#     enabled: true
-#     # options are [S3, URL]
-#     source: S3
-#     # embedding model to use for creating embeddings
-#     embedding_model: all-MiniLM-L6-v2
-#     # name of the vector db with version, pipeline will be created with pipeline_red_hat_openshift
-#     name: "zippity-zoo-vector-db"
-#     # version of the knowledgebase
-#     version: "1.0"
-#     vector_store_name: "zippity-zoo-vector-db"
-
-#     S3:
-#       access_key_id: minio_rag_user
-#       secret_access_key: minio_rag_password
-#       bucket_name: documents
-#       endpoint_url: http://minio:9000
-#       region: us-east-1
+# Ingestion Pipeline Configuration
+ingestion-pipeline:
+  enabled: true
+  serviceAccount:
+    create: true
+    name: rag-pipeline-notebook
+  pipelines:
+    # GitHub-based pipeline
+    hr-pipeline:
+      enabled: true
+      source: GITHUB
+      embedding_model: "all-MiniLM-L6-v2"
+      name: "hr-vector-db"
+      version: "1.0"
+      vector_store_name: "hr-vector-db-v1-0"
+      GITHUB:
+        url: https://github.com/rh-ai-quickstart/RAG.git
+        path: notebooks/hr
+        token: auth_token
+        branch: main
+
+    legal-pipeline:
+      enabled: true
+      source: GITHUB
+      embedding_model: "all-MiniLM-L6-v2"
+      name: "legal-vector-db"
+      version: "1.0"
+      vector_store_name: "legal-vector-db-v1-0"
+      GITHUB:
+        url: https://github.com/rh-ai-quickstart/RAG.git
+        path: notebooks/legal
+        token: auth_token
+        branch: main
+
+    sales-pipeline:
+      enabled: true
+      source: GITHUB
+      embedding_model: "all-MiniLM-L6-v2"
+      name: "sales-vector-db"
+      version: "1.0"
+      vector_store_name: "sales-vector-db-v1-0"
+      GITHUB:
+        url: https://github.com/rh-ai-quickstart/RAG.git
+        path: notebooks/sales
+        token: auth_token
+        branch: main
+
+    procurement-pipeline:
+      enabled: true
+      source: GITHUB
+      embedding_model: "all-MiniLM-L6-v2"
+      name: "procurement-vector-db"
+      version: "1.0"
+      vector_store_name: "procurement-vector-db-v1-0"
+      GITHUB:
+        url: https://github.com/rh-ai-quickstart/RAG.git
+        path: notebooks/procurement
+        token: auth_token
+        branch: main
+
+    techsupport-pipeline:
+      enabled: true
+      source: GITHUB
+      embedding_model: "all-MiniLM-L6-v2"
+      name: "techsupport-vector-db"
+      version: "1.0"
+      vector_store_name: "techsupport-vector-db-v1-0"
+      GITHUB:
+        url: https://github.com/rh-ai-quickstart/RAG.git
+        path: notebooks/techsupport
+        token: auth_token
+        branch: main