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SkillsMP hat 13 Skills aus opensearch-project/opensearch-agent-skills gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 13 von 13 gesammelten Skills angezeigt.
Deploy OpenSearch search applications to Aiven for OpenSearch (a fully managed OpenSearch service across AWS, GCP, Azure, DigitalOcean, and UpCloud). Use this skill when the user wants to provision an Aiven OpenSearch service, deploy a search configuration to…
Quellsprache: Englisch
Deploy OpenSearch search applications to managed cloud providers. Use this skill when the user wants to provision an OpenSearch domain or serverless collection on AWS, provision a managed OpenSearch service on Aiven, deploy search configurations, set up…
Quellsprache: Englisch
Build search applications and query log analytics data with OpenSearch. Use this skill when the user mentions OpenSearch, search app, index setup, search architecture, semantic search, vector search, hybrid search, BM25, dense vector, sparse vector, agentic…
Quellsprache: Englisch
Process unstructured documents (PDF, DOCX, PPTX, XLSX) into search-ready JSONL chunks using Docling. Runs locally — no AWS or cloud services needed. Use this skill when the user wants to prepare documents for indexing, chunk documents, evaluate chunk quality,…
Quellsprache: Englisch
Process unstructured documents into search-ready chunks. Use this skill when the user wants to process PDFs or unstructured documents into JSONL chunks using Docling. Activate even if the user says document processing, chunking, Docling, PDF processing, or…
Quellsprache: Englisch
Build search applications with OpenSearch from scratch. Use this skill when the user mentions search app, index setup, search architecture, semantic search, vector search, hybrid search, BM25, dense vector, sparse vector, agentic search, RAG, embeddings, KNN,…
Quellsprache: Englisch
Build search applications with OpenSearch. Use this skill when the user mentions search app, index setup, search architecture, semantic search, vector search, hybrid search, BM25, dense vector, sparse vector, agentic search, RAG, embeddings, KNN, PDF…
Quellsprache: Englisch
Deploy OpenSearch search applications to Amazon OpenSearch Service or Amazon OpenSearch Serverless. Use this skill when the user wants to provision an OpenSearch domain or serverless collection on AWS, deploy search configurations to AWS, set up Bedrock…
Quellsprache: Englisch
Use when provisioning or deprovisioning OpenSearch Serverless collections, creating collection groups, setting up AOSS NextGen, or tearing down AOSS resources
Quellsprache: Englisch
Analyze logs in OpenSearch using PPL and Query DSL. Use this skill when the user wants to query logs, analyze error patterns, discover log patterns, check error rates, perform anomaly detection on logs, or investigate application issues through log data.…
Quellsprache: Englisch
Analyze logs and investigate traces in OpenSearch. Use this skill when the user wants to query logs with PPL, analyze error patterns, discover log patterns, investigate traces, check stack health, or perform any observability task. Activate even if the user…
Quellsprache: Englisch
Investigate distributed traces and spans in OpenSearch. Use this skill when the user wants to analyze traces, investigate slow spans, find error spans, track agent invocations, measure token usage, reconstruct trace trees, query service maps, or debug…
Quellsprache: Englisch
Ingest documents at scale into Amazon OpenSearch using OpenSearch Ingestion Service (OSIS) pipelines. Upload pre-generated JSONL chunks to S3 and OSIS indexes them — optionally using semantic_enrichment in the sink to create the index with ASE automatically.…
Quellsprache: Englisch