“vector search and databases”

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.

Web search, scraping, Google Trends and data lookups.

Use when the user wants to provision infrastructure or third-party services using Stripe Projects.

Skill for searching and evolving the SQLite-backed Knowledge Graph.

Show Astra DB results as interactive views — database overview, collection or table schema, document explorer, and vector-search results — from the astra-db…

探索 SQLite 或 PostgreSQL 数据库，执行安全只读查询，提供表列表、详细表结构（列/类型/约束/索引）、数据预览，并生成 Mermaid ER 图。当用户需要查看数据库架构、探索表关系、预览数据、执行只读查询，或提及 schema、ER 图、SQL 查询、数据预览、describe…

Query the Monarch Initiative knowledge graph for disease-gene-phenotype associations across species.

Diagnose and refresh the local X Search runtime token.

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search.

Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching, autoscaling, scale-to-zero…

Database specialist focused on data modeling, schema design, query optimization, and data integrity.

Design, optimize, and maintain robust, scalable database architectures that remain fast under load.