Docker · open-edge-platform/edge-ai-libraries

Build a new time-series analytics use case on top of the deployed Time Series Analytics microservice — bring it up with Docker Compose (from a repo clone, or by fetching the compose files from…

open-edge-platform/edge-ai-libraries

Deploy Chat Question-and-Answer Core to Kubernetes using Helm (OpenVINO CPU, OpenVINO GPU, or Ollama), including values.yaml configuration, helm install/upgrade, deployment verification, uninstall…

open-edge-platform/edge-ai-libraries

Deploys and manages VSS through setup.sh and its Docker Compose overlays.

open-edge-platform/edge-ai-libraries

A skill your agent uses whenever a developer needs to deploy VSS to Kubernetes, helm install VSS, configure values.yaml for VSS, or run VSS on k8s with GPU/vLLM for the…

open-edge-platform/edge-ai-libraries

A skill your agent uses for VSS live metrics, OpenTelemetry traces, pipeline bottlenecks, and metrics-panel troubleshooting.

open-edge-platform/edge-ai-libraries

Diagnose a running or failing video-search-and-summarization deployment.

open-edge-platform/edge-ai-libraries

Build Chat Question and Answer Core Docker images from source using direct Docker or Docker Compose build commands (backend CPU, backend GPU, backend Ollama, and UI).

open-edge-platform/edge-ai-libraries

Deploy Chat Question-and-Answer Core with Docker Compose (OpenVINO CPU, OpenVINO GPU, or Ollama CPU), including env setup, profile selection, startup verification, health checks, and teardown.

open-edge-platform/edge-ai-libraries

Troubleshoot Chat Question-and-Answer Core end-to-end across Docker Compose and Helm deployments, including startup failures, health/API errors, runtime mismatches (OpenVINO vs Ollama), model/config…

open-edge-platform/edge-ai-libraries

Build (and optionally push) the VSS Docker images from source with make build, make build-deps, and make push - the application services, the dependency microservices, or both, with registry/tag…

open-edge-platform/edge-ai-libraries

Deploy and operate DL Streamer Pipeline Server — a microservice that wraps DL Streamer pipelines behind a REST API for containerized, no-code operation.

open-edge-platform/edge-ai-libraries

Extend, test, debug, or integrate the Model Download microservice codebase.

open-edge-platform/edge-ai-libraries

Develop and debug the Multimodal DataPrep microservice: its FastAPI media endpoints, in-process embedding pipeline, batch jobs, object detection, telemetry and Metrics Manager publishing, and…

open-edge-platform/edge-ai-libraries

Develop the Multimodal Embedding Serving microservice itself — Poetry install, run the existing tests, navigate the wrapper/registry/handler architecture, add a new model family, and build the image…

open-edge-platform/edge-ai-libraries

Develop the Time Series Analytics microservice itself (FastAPI + Kapacitor) — build and deploy it locally via Docker Compose or Helm, run the mocked unit test suite (tests/runtests.sh) and the…

open-edge-platform/edge-ai-libraries

Deploy and consume Intel Multimodal DataPrep from prebuilt images or a repository checkout.

open-edge-platform/edge-ai-libraries

Deploy and consume the Multimodal Embedding Serving microservice — bring it up with setup.sh + docker compose (from a repo clone, or by fetching those same files from GitHub when no clone exists)…

open-edge-platform/edge-ai-libraries