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Migration workflow from Pinecone to Elasticsearch
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Debug and analyze LLM eval runs — view traces, compare runs, investigate failures, track costs. Use when debugging @kbn/evals failures, comparing eval runs, or analyzing LLM performance.
Start your security session with a personalized briefing — attacks, alerts, cases, rules, threat intel. Use as the first thing when starting security work.
Guide users from zero to a working Elastic cluster — Cloud or on-prem, connection config, first queries, and next steps.
Interactive guide for creating an APM service overview dashboard — discovers service data, presents metrics, and creates a tailored dashboard.
Interactive guide for creating SLOs from discovered APM and metric data — identifies candidates, lets user configure targets, and creates SLOs.
Create, configure, and manage Elasticsearch indices — mappings, settings, templates, data streams, and lifecycle policies.
| name | migrate-from-pinecone |
| description | Migration workflow from Pinecone to Elasticsearch |
Use when the user wants to move from Pinecone to Elasticsearch for vector search.
create_index: include a dense_vector field (same dimensions as Pinecone) and any metadata fields they filter on.create_ingest_pipeline with inference for embeddings if they want server-side embedding; otherwise app-side.bulk_index to load data into Elasticsearch. Use same embedding model for queries.search tool using kNN query.