20 NVIDIA RAG Blueprint alternatives
NVIDIA RAG Blueprint: Deploy, configure and troubleshoot the NVIDIA RAG Blueprint from your agent — Docker Compose, Helm or library, with feature toggles for VLM, guardrails and agentic RAG. 20 agent skills do similar work, most sharing Kubernetes, RAG and NVIDIA, ranked by how much they have in common with NVIDIA RAG Blueprint.
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by Qdrant
Qdrant's meta-skill: instead of shipping static docs, it loads the current official Qdrant skill tree live from skills.qdrant.tech and diagnoses from that.
Also: RAG, Troubleshooting
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by AWS Labs
Read-only diagnostics for cluster-wide SageMaker HyperPod failures on EKS or Slurm — CloudFormation errors, EFA health checks, lifecycle scripts, capacity, dangling nodes and autoscaler conflicts.
Also: Kubernetes, Troubleshooting
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by NVIDIA
Inspects the host's hardware, OS, CUDA driver and existing tooling, recommends one Holoscan SDK install method with a reason, then hands off to the matching install skill.
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by NVIDIA
Trains, distils, quantises, evaluates, exports and runs inference for RT-DETR real-time object detection in NVIDIA TAO, routing training through AutoML hyperparameter search by default.
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by AMD
AMD's official skill for CPU inference: brings up a single vLLM + zentorch endpoint on an EPYC server, sized to the socket it runs on.
Also: Deployment, Docker
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by NVIDIA
NVIDIA's official skill for bringing up Dynamo inference routing — pick a router mode, enable KV-aware routing, and smoke-test the frontend endpoint before claiming anything works.
Also: Kubernetes, NVIDIA
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by NVIDIA
Picks the right vLLM or SGLang runtime for your Jetson generation and JetPack version, then produces a working OpenAI-compatible serving command.
Also: Deployment, NVIDIA
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by .NET Team at Microsoft
Diagnose an MSBuild build failure from a .binlog file — query the binary log through a dedicated MCP server instead of grepping console output, with a text-replay fallback.
Also: Troubleshooting
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by OpenSearch Project
Take an OpenSearch search application from requirements to a running cluster — BM25, dense and sparse vectors, hybrid retrieval, agentic search and RAG, with relevance evaluation built in.
Also: RAG
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by Redis, Inc.
Redis' own guidance for FT.CREATE schema design, FT.SEARCH / FT.AGGREGATE / FT.HYBRID, HNSW vector similarity and RAG retrieval pipelines.
Also: RAG
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by docling-project (IBM)
Parse, convert, chunk, and structurally analyze PDFs, DOCX, PPTX, HTML, and images with IBM's open-source Docling toolkit.
Also: RAG
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by Weaviate
Weaviate's official skill for searching and managing vector collections — hybrid, semantic and keyword search, schema inspection, filtered fetches and bulk imports.
Also: RAG
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by Brave
Brave's official search skill: one CLI that searches, scrapes and extracts in a single call, returning token-budgeted web content instead of a list of links.
Also: RAG
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by MongoDB
MongoDB's official skill for choosing between Atlas Search, Vector Search and Hybrid Search, then building the right indexes and queries for the use case.
Also: RAG
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by Microsoft
Microsoft's official AKS planning skill: separates the Day-0 decisions you cannot undo (networking, API server) from the Day-1 features you can switch on later.
Also: Kubernetes
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by Grafana Labs
Grafana's official Alloy skill: write one collector config that carries metrics, logs, traces and profiles, validate it locally, and prove samples are actually leaving the box.
Also: Kubernetes
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by Grafana Labs
Grafana's official Tempo skill: stand up a tracing backend that needs nothing but object storage, then write TraceQL that finds the slow span instead of scrolling for it.
Also: Kubernetes
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by Grafana Labs
Grafana's official Loki skill: write LogQL that returns rows instead of timeouts, ship logs through Alloy, and reason about a store that indexes labels rather than log text.
Also: Kubernetes
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by .NET Foundation
The .NET team's official skill for capturing crash dumps from CoreCLR and NativeAOT apps on Linux, macOS, Windows and inside containers — collection only, no analysis.
Also: Kubernetes
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by Google
Google's official GKE skill — when Autopilot beats Standard, Workload Identity instead of JSON keys, Autopilot's 250m CPU rounding, and private-cluster flags.
Also: Kubernetes
