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Updated Metro SDK to 2026.0 release (#2056)
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‎metro-ai-suite/metro-sdk-manager/docs/_static/installer/config.js‎

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@@ -47,6 +47,10 @@ const CONFIG = {
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label: "latest",
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value: "latest"
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},
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{
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label: "2026.0",
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value: "2026.0"
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},
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{
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label: "2025.2",
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value: "2025.2"
@@ -106,6 +110,52 @@ const CONFIG = {
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"Edge AI Suites - Repo"
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]
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},
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{
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when: {
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SDK: "METRO_VISION",
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OP_SYSTEM: "UBUNTU",
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VERSION: "2026.0"
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},
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components: [
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"DLStreamer",
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"DLStreamer Pipeline Server",
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"OpenVINO",
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"OpenVINO Model Server",
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"Edge AI Libraries - Repo",
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"Edge AI Suites - Repo"
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]
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},
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{
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when: {
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SDK: "METRO_GENAI",
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OP_SYSTEM: "UBUNTU",
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VERSION: "2026.0"
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},
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components: [
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"Audio Analyzer Microservice",
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"Document Ingestion (pgvector)",
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"Multimodal Embedding Serving",
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"Visual Data Preparation For Retrieval",
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"VLM OpenVINO Serving",
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"Edge AI Libraries - Repo",
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"Edge AI Suites - Repo"
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]
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},
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{
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when: {
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SDK: "VISUAL_AI_DEMO",
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OP_SYSTEM: "UBUNTU",
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VERSION: "2026.0"
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},
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components: [
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"DLStreamer Pipeline Server",
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"Node Red",
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"Grafana",
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"MediaMTX",
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"MQTT Broker",
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"Edge AI Suites - Repo"
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]
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},
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{
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when: {
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SDK: "METRO_VISION",
@@ -185,6 +235,32 @@ const CONFIG = {
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},
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text: `curl -fsS https://raw.githubusercontent.com/open-edge-platform/edge-ai-suites/refs/heads/release-2025.2.0/metro-ai-suite/metro-sdk-manager/scripts/visual-ai-demo-kit.sh | bash`
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},
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{
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when: {
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SDK: "METRO_VISION",
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OP_SYSTEM: "UBUNTU",
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VERSION: "2026.0"
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},
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text: `curl -fsS https://raw.githubusercontent.com/open-edge-platform/edge-ai-suites/refs/heads/release-2026.0.0/metro-ai-suite/metro-sdk-manager/scripts/metro-vision-ai-sdk.sh | bash`
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},
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{
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when: {
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SDK: "METRO_GENAI",
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OP_SYSTEM: "UBUNTU",
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VERSION: "2026.0"
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},
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text: `curl -fsS https://raw.githubusercontent.com/open-edge-platform/edge-ai-suites/refs/heads/release-2026.0.0/metro-ai-suite/metro-sdk-manager/scripts/metro-gen-ai-sdk.sh | bash`
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},
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{
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when: {
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SDK: "VISUAL_AI_DEMO",
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OP_SYSTEM: "UBUNTU",
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VERSION: "2026.0"
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},
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text: `curl -fsS https://raw.githubusercontent.com/open-edge-platform/edge-ai-suites/refs/heads/release-2026.0.0/metro-ai-suite/metro-sdk-manager/scripts/visual-ai-demo-kit.sh | bash`
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},
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{
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when: {
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SDK: "METRO_VISION",
@@ -226,7 +302,7 @@ const CONFIG = {
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VERSION: "2025.2"
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},
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text: `Get Started`,
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link: `https://docs.openedgeplatform.intel.com/dev/edge-ai-suites/metro-sdk-manager/metro-vision-ai-sdk/get-started.html`
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link: `https://docs.openedgeplatform.intel.com/2025.2/edge-ai-suites/metro-sdk-manager/metro-vision-ai-sdk/get-started.html`
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},
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{
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when: {
@@ -235,7 +311,7 @@ const CONFIG = {
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VERSION: "2025.2"
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},
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text: `Get Started`,
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link: `https://docs.openedgeplatform.intel.com/dev/edge-ai-suites/metro-sdk-manager/metro-gen-ai-sdk/get-started.html`
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link: `https://docs.openedgeplatform.intel.com/2025.2/edge-ai-suites/metro-sdk-manager/metro-gen-ai-sdk/get-started.html`
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},
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{
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when: {
@@ -244,7 +320,34 @@ const CONFIG = {
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VERSION: "2025.2"
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},
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text: `Get Started`,
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link: `https://docs.openedgeplatform.intel.com/dev/edge-ai-suites/metro-sdk-manager/visual-ai-demo-kit/get-started.html`
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link: `https://docs.openedgeplatform.intel.com/2025.2/edge-ai-suites/metro-sdk-manager/visual-ai-demo-kit/get-started.html`
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},
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{
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when: {
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SDK: "METRO_VISION",
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OP_SYSTEM: "UBUNTU",
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VERSION: "2026.0"
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},
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text: `Get Started`,
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link: `https://docs.openedgeplatform.intel.com/2026.0/edge-ai-suites/metro-sdk-manager/metro-vision-ai-sdk/get-started.html`
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},
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{
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when: {
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SDK: "METRO_GENAI",
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OP_SYSTEM: "UBUNTU",
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VERSION: "2026.0"
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},
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text: `Get Started`,
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link: `https://docs.openedgeplatform.intel.com/2026.0/edge-ai-suites/metro-sdk-manager/metro-gen-ai-sdk/get-started.html`
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},
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{
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when: {
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SDK: "VISUAL_AI_DEMO",
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OP_SYSTEM: "UBUNTU",
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VERSION: "2026.0"
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},
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text: `Get Started`,
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link: `https://docs.openedgeplatform.intel.com/2026.0/edge-ai-suites/metro-sdk-manager/visual-ai-demo-kit/get-started.html`
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},
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{
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when: {
@@ -287,8 +390,8 @@ const CONFIG = {
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VERSION: "2025.2"
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},
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links: [
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{ text: "DLStreamer", url: "http://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dl-streamer/index.html" },
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{ text: "DLStreamer Pipeline Server", url: "https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer-pipeline-server/index.html" },
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{ text: "DLStreamer", url: "http://docs.openedgeplatform.intel.com/2025.2/edge-ai-libraries/dl-streamer/index.html" },
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{ text: "DLStreamer Pipeline Server", url: "https://docs.openedgeplatform.intel.com/2025.2/edge-ai-libraries/dlstreamer-pipeline-server/index.html" },
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{ text: "OpenVINO", url: "https://docs.openvino.ai/2025/get-started.html" },
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{ text: "OpenVINO Model Server", url: "https://docs.openvino.ai/2025/model-server/ovms_what_is_openvino_model_server.html" },
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{ text: "Edge AI Libraries", url: "https://docs.openedgeplatform.intel.com/dev/ai-libraries.html"},
@@ -303,7 +406,7 @@ const CONFIG = {
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},
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links: [
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{ text: "Audio Analyzer", url: "https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/audio-analyzer/index.html" },
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{ text: "Document Ingestion - pgvector", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/document-ingestion/pgvector/docs/get-started.md" },
409+
{ text: "Document Ingestion - pgvector", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/document-ingestion/pgvector/docs/user-guide/get-started.md" },
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{ text: "Multimodal Embedding Serving", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/multimodal-embedding-serving/docs/user-guide/Overview.md" },
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{ text: "Visual Data Preparation For Retrieval", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/visual-data-preparation-for-retrieval/vdms/docs/user-guide/Overview.md" },
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{ text: "VLM OpenVINO Serving", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/vlm-openvino-serving/docs/user-guide/Overview.md" },
@@ -324,6 +427,50 @@ const CONFIG = {
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{ text: "Edge AI Suites", url: "https://docs.openedgeplatform.intel.com/dev/ai-suite-metro.html"}
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]
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},
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{
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when: {
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SDK: "METRO_VISION",
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OP_SYSTEM: "UBUNTU",
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VERSION: "2026.0"
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},
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links: [
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{ text: "DLStreamer", url: "http://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dl-streamer/index.html" },
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{ text: "DLStreamer Pipeline Server", url: "https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer-pipeline-server/index.html" },
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{ text: "OpenVINO", url: "https://docs.openvino.ai/2025/get-started.html" },
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{ text: "OpenVINO Model Server", url: "https://docs.openvino.ai/2025/model-server/ovms_what_is_openvino_model_server.html" },
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{ text: "Edge AI Libraries", url: "https://docs.openedgeplatform.intel.com/dev/ai-libraries.html"},
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{ text: "Edge AI Suites", url: "https://docs.openedgeplatform.intel.com/dev/ai-suite-metro.html"}
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]
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},
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{
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when: {
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SDK: "METRO_GENAI",
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OP_SYSTEM: "UBUNTU",
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VERSION: "2026.0"
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},
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links: [
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{ text: "Audio Analyzer", url: "https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/audio-analyzer/index.html" },
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{ text: "Document Ingestion - pgvector", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/document-ingestion/pgvector/docs/user-guide/get-started.md" },
454+
{ text: "Multimodal Embedding Serving", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/multimodal-embedding-serving/docs/user-guide/Overview.md" },
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{ text: "Visual Data Preparation For Retrieval", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/visual-data-preparation-for-retrieval/vdms/docs/user-guide/Overview.md" },
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{ text: "VLM OpenVINO Serving", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/vlm-openvino-serving/docs/user-guide/Overview.md" },
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{ text: "Edge AI Libraries", url: "https://docs.openedgeplatform.intel.com/dev/ai-libraries.html"},
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{ text: "Edge AI Suites", url: "https://docs.openedgeplatform.intel.com/dev/ai-suite-metro.html"}
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]
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},
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{
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when: {
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SDK: "VISUAL_AI_DEMO",
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OP_SYSTEM: "UBUNTU",
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VERSION: "2026.0"
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},
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links: [
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{ text: "DLStreamer", url: "http://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dl-streamer/index.html" },
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{ text: "DLStreamer Pipeline Server", url: "https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer-pipeline-server/index.html" },
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{ text: "Edge AI Libraries", url: "https://docs.openedgeplatform.intel.com/dev/ai-libraries.html"},
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{ text: "Edge AI Suites", url: "https://docs.openedgeplatform.intel.com/dev/ai-suite-metro.html"}
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]
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},
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{
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when: {
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SDK: "METRO_VISION",
@@ -347,7 +494,7 @@ const CONFIG = {
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},
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links: [
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{ text: "Audio Analyzer", url: "https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/audio-analyzer/index.html" },
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{ text: "Document Ingestion - pgvector", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/document-ingestion/pgvector/docs/get-started.md" },
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{ text: "Document Ingestion - pgvector", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/document-ingestion/pgvector/docs/user-guide/get-started.md" },
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{ text: "Multimodal Embedding Serving", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/multimodal-embedding-serving/docs/user-guide/Overview.md" },
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{ text: "Visual Data Preparation For Retrieval", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/visual-data-preparation-for-retrieval/vdms/docs/user-guide/Overview.md" },
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{ text: "VLM OpenVINO Serving", url: "https://github.com/open-edge-platform/edge-ai-libraries/blob/main/microservices/vlm-openvino-serving/docs/user-guide/Overview.md" },

‎metro-ai-suite/metro-sdk-manager/docs/user-guide/metro-gen-ai-sdk/get-started.md‎

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Original file line numberDiff line numberDiff line change
@@ -43,40 +43,59 @@ Navigate to the pre-installed question-answering application directory:
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cd $HOME/metro/edge-ai-libraries/sample-applications/chat-question-and-answer
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```
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### Step 2: Configure Environment and Dependencies
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### Step 2: Setup Model Download Service
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Configure and start the Model Download service to manage LLM and embedding model downloads:
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```bash
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cd $HOME/metro/edge-ai-libraries/microservices/model-download
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export REGISTRY="intel/"
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export TAG=latest
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export HUGGINGFACEHUB_API_TOKEN=<your-huggingface-token>
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source scripts/run_service.sh up --plugins openvino --model-path $HOME/metro/models/
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```
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> **Note:** Keep this terminal open while the model download service is running. Open a new terminal to continue with the next steps.
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Update the `<your-huggingface-token>` to your Access Token from Hugging Face. To learn more, follow this [guide](https://huggingface.co/docs/hub/en/security-tokens).
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### Step 3: Configure Environment and Dependencies
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Set up the Python virtual environment and install required dependencies:
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```bash
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cd $HOME/metro/edge-ai-libraries/sample-applications/chat-question-and-answer
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# Configure application environment variables
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export HUGGINGFACEHUB_API_TOKEN=<your-huggingface-token>
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export LLM_MODEL=Qwen/Qwen2.5-7B-Instruct
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export EMBEDDING_MODEL_NAME=Alibaba-NLP/gte-large-en-v1.5
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export RERANKER_MODEL=BAAI/bge-reranker-base
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export DEVICE="CPU"
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export REGISTRY="intel/"
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export TAG=2.0.0
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export TAG=latest
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export MODEL_DOWNLOAD_HOST=localhost
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export MODEL_DOWNLOAD_PORT=8200
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source setup.sh llm=OVMS embed=OVMS
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```
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Update the <your-huggingface-token> to your Access Token from Hugging Face. To know more, follow this [guide](https://huggingface.co/docs/hub/en/security-tokens).
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### Step 3: Deploy the Application
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### Step 4: Deploy the Application
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Start the complete Gen AI application stack using Docker Compose:
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```bash
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export ALLOWED_HOSTS="*.intel.com,en.wikipedia.org,*.wikipedia.org,*.github.com"
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docker compose up
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```
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### Step 4: Verify Deployment Status
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### Step 5: Verify Deployment Status
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Check that all application components are running correctly:
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Run below command in another terminal to check that all application components are running correctly:
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```bash
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docker ps
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```
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### Step 5: Access the Application Interface
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### Step 6: Access the Application Interface
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Open a web browser and navigate to the application dashboard:
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‎metro-ai-suite/metro-sdk-manager/docs/user-guide/metro-vision-ai-sdk/get-started.md‎

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@@ -160,9 +160,9 @@ Profiling and monitoring performance of Metro Vision AI workloads using command-
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\- Comprehensive documentation for Intel's GStreamer-based video analytics framework
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- [DL Streamer Pipeline Server](https://docs.openedgeplatform.intel.com/2026.0/edge-ai-libraries/dlstreamer-pipeline-server/index.html)
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\- RESTful microservice architecture documentation for scalable video analytics deployment
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- [OpenVINO](https://docs.openvino.ai/2025/get-started.html)
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- [OpenVINO](https://docs.openvino.ai/2026/get-started.html)
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\- Complete reference for Intel's cross-platform inference optimization toolkit
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- [OpenVINO Model Server](https://docs.openvino.ai/2025/model-server/ovms_what_is_openvino_model_server.html)
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- [OpenVINO Model Server](https://docs.openvino.ai/2026/model-server/ovms_what_is_openvino_model_server.html)
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\- Model serving infrastructure documentation for production deployments
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- [Edge AI Libraries](https://docs.openedgeplatform.intel.com/2026.0/ai-libraries.html)
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\- Comprehensive development toolkit documentation and API references

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