“vector search and databases”

In-memory vector search with TF-IDF and cosine similarity.

Use before you add, edit, or name a database migration or a seed migration, when you touch a schema, Diesel code, a migration lock, or a crate named…

Vector Search engine built on Google Research's ScaNN algorithm for semantic search and recommendations.

Use when choosing seeds, fixtures, or factories for Rails dev/test data.

Open source vector database for AI apps, built on Postgres with pgvector and available self-hosted or managed.

简化版数据库工具，适用于火山引擎 RDS 实例以及自建数据库的元数据查询、SQL 执行、nl2sql 等场景。当用户需要查询火山引擎 RDS 实例以及自建数据库表结构、查看数据、执行 SQL 或将自然语言转换为 SQL 时使用此 skill。

Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword…

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying.

Work with databases and tooling in TDK (Postgres, Prisma, Drizzle, Atlas, Dbmate).

行业数据查询与分析工具。接入多种合规公开数据源，支持精确匹配、模糊搜索、聚合统计、分组排序等查询方式。当前已覆盖工商企业基本信息、产业链节点区域指标、产业链企业信息、A股相关信息以及其他等大部分场景。完整的可用数据源清单及其字段结构需通过 describe_datasource 接口动态获取。…

Routes tasks for discovering NLP datasets in the CLUEDatasetSearch catalogue, including Chinese NLP classification, QA, matching, NER, generation…

Schema design, migrations, query optimization, indexes, ORM models.

Offline PostgreSQL query, migration and EXPLAIN diagnostics for AI agents.

Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search…

Room and local persistence as Android data sources.

Local Markdown search, navigation and editing via MCP, with optional vector embeddings.

Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines…

赛道产业研究。输入赛道名称，输出六维产业地图：地图/技术成熟度/头部玩家/关键变量/投资机会/风险盲区。

Semantic search over scraped Federal Reserve MPR HTML chunks in ChromaDB.

AI-powered development platform for Kubernetes deployments and intelligent automation

production queries that include SKUs, acronyms (WCAG example), error codes (the intended example is a connection-refused code; captions say "econ refuse"), or…

Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.

搜索和爬取网络上数据集相关信息，包括开源数据集、企业数据集发布、高质量数据集参评等。提取数据集名称、内容介绍、所属企业名称（简称自动扩展为全称），标记高质量数据集，生成结构化报告。用于：1) 搜索最新的数据集资源，2) 追踪企业数据集动态，3) 发现开源数据集链接，4) 每周生成数据集增量报告。

Real-time web search and page fetch for AI agents from Andi's own index.