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When publishing a new elix-db version or making version changes, run versioned sample use cases, collect memory/time/latency, compare to the previous version report, and update reports. Remember this workflow for releases.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Debug, verify, and compare elix-db to industry after each plan step. Use after implementing any plan step or changing vector/store/API logic; run tests, IEx checks, and document efficiency vs Qdrant/Milvus/pgvector.
Elixir patterns for vector storage and similarity search. Use when implementing GenServer-based vector store, ETS index, Nx/Scholar distance math, or supervision for a vector DB in Elixir.
Design and implement a vector database in Elixir. Use when building embedding storage, similarity search, k-NN retrieval, or when the user mentions vector DB, embeddings, or semantic search in Elixir.
Storage backends and indexing for vector databases in Elixir. Use when choosing persistence, implementing exact vs approximate k-NN, or integrating pgvector, file, or ETS for vector storage.
SOC 직업 분류 기준
| name | versioned-sample-uses |
| description | When publishing a new elix-db version or making version changes, run versioned sample use cases, collect memory/time/latency, compare to the previous version report, and update reports. Remember this workflow for releases. |
Apply when publishing a new version, cutting a release, or making version-related changes to elix-db.
Sample uses are organized by version: sample_uses/v0.1.0/, sample_uses/v0.2.0/, etc. Inside each version folder are the same use cases: 01_simple_search, 02_semantic_faq, 03_similar_items, 04_persistence. Each use case pins elix_db to that version in its mix.exs.
On a new version release:
sample_uses has a version folder for the new version (e.g. v0.2.0) with the same four use cases and elix_db pinned to that version.sample_uses/<version>/, collects metrics).sample_uses/reports/, generate a comparison report (how the new version is better or worse on memory, time, latency, throughput).sample_uses/reports/ (e.g. <version>.json, <version>_vs_<prev>.md).Metrics that matter for the vector DB: memory (e.g. :erlang.memory()), wall time per use case, latency (mean/p50/p99 for search and upsert), throughput (inserts/s, searches/s). The comparison report should answer: how is this version compared to the previous one?
sample_uses/<vX.Y.Z>/ with use cases pointing to that elix_db version.sample_uses/reports/<version>.json (and optional .md).reports/<version>_vs_<prev>.md).