Add Yolox "graphic-elements" and "table-structure" NIMs to Helm charts

helm/Chart.yaml

@@ -2,55 +2,86 @@ apiVersion: v2
 name: nv-ingest
 description: NV-Ingest Microservice
 type: application
-version: 0.4.0
+version: 0.4.2
 maintainers:
   - name: NVIDIA Corporation
     url: https://www.nvidia.com/
 dependencies:
-  - name: common
-    repository: oci://registry-1.docker.io/bitnamicharts
-    tags:
-      - bitnami-common
-    version: 2.x.x
-  - name: redis
-    repository: oci://registry-1.docker.io/bitnamicharts
-    tags:
-      - redis
-    version: 19.1.3
-    condition: redisDeployed
-  - name: zipkin
-    repository: https://zipkin.io/zipkin-helm
-    version: 0.1.2
-    condition: zipkinDeployed
-  - name: opentelemetry-collector
-    repository: https://open-telemetry.github.io/opentelemetry-helm-charts
-    version: 0.78.1
-    condition: otelDeployed
+  # Yolox NIM
   - name: yolox-nim
     repository: "alias:nemo-microservices"
     version: 0.2.0
-    condition: yoloxDeployed
-  - name: cached-nim
+    condition: yolox-nim.deployed
+
+  # Yolox base architecture variant NIM for extracting Graphic Elements from images
+  - name: nvidia-nim-nemoretriever-graphic-elements-v1
     repository: "alias:nemo-microservices"
-    version: 0.2.0
-    condition: cachedDeployed
+    version: 1.2.0
+    condition: nvidia-nim-nemoretriever-graphic-elements-v1.deployed
+
+  # Yolox base architecture variant NIM for extracting Table Structures from images
+  - name: nvidia-nim-nemoretriever-table-structure-v1
+    repository: "alias:nvstaging-nim"
+    version: 1.1.0
+    condition: nvidia-nim-nemoretriever-table-structure-v1.deployed
+
+  # # VLM for image captioning.
+  # # This same chart can power several different underlying VLM models. Configure in values.yaml
+  # - name: nim-vlm
+  #   repository: "alias:nvstaging-nim"
+  #   version: 1.2.0-ea-v4
+  #   alias: nim-vlm-image-captioning
+  #   condition: nim-vlm-image-captioning.deployed
+
+  # VLM for text extraction. Same helm chart as image captioning VLM with different NIM engine; eclair vs llama vision
+  - name: nim-vlm
+    repository: "alias:nvstaging-nim"
+    version: 1.2.0-ea-v4
+    alias: nim-vlm-text-extraction
+    condition: nim-vlm-text-extraction.deployed
+
+  # PaddleOCR NIM
   - name: paddleocr-nim
     repository: "alias:nemo-microservices"
     version: 0.2.0
-    condition: paddleocrDeployed
-  - name: deplot-nim
-    repository: "alias:nemo-microservices"
-    version: 0.1.12
-    condition: deplotDeployed
+    condition: paddleocr-nim.deployed
+
+  # nv-embedqa-e5-v5 NIM. Note only text-embedding-nim OR nvidia-nim-llama-32-nv-embedqa-1b-v2 can be deployed at the same time but not both
   - name: text-embedding-nim
     repository: "alias:nvidia-nim"
     version: 1.1.0
-    condition: embedqaDeployed
+    condition: text-embedding-nim.deployed
+
+  # nvidia-nim-llama-32-nv-embedqa-1b-v2 NIM. Note only text-embedding-nim OR nvidia-nim-llama-32-nv-embedqa-1b-v2 can be deployed at the same time but not both
   - name: nvidia-nim-llama-32-nv-embedqa-1b-v2
     repository: "alias:nvidia-nim"
     version: 1.3.0
-    condition: nvEmbedqaDeployed
+    condition: nvidia-nim-llama-32-nv-embedqa-1b-v2.deployed
+
+  # # Nvidia llama-3.2-nv-rerankqa-1b-v2 reranking NIM
+  # - name: llama-3.2-nv-rerankqa-1b-v2
+  #   repository: "alias:nvstaging-nim"
+  #   version: 1.4.0-rc1-latest-datacenter-release-24598430
+  #   condition: llama-3.2-nv-rerankqa-1b-v2.deployed
+
   - name: milvus
     repository: https://zilliztech.github.io/milvus-helm
     version: 4.1.11
     condition: milvusDeployed
+
+  - name: redis
+    repository: oci://registry-1.docker.io/bitnamicharts
+    tags:
+      - redis
+    version: 19.1.3
+    condition: redisDeployed
+
+  - name: zipkin
+    repository: https://zipkin.io/zipkin-helm
+    version: 0.1.2
+    condition: zipkinDeployed
+
+  - name: opentelemetry-collector
+    repository: https://open-telemetry.github.io/opentelemetry-helm-charts
+    version: 0.78.1
+    condition: otelDeployed