“vector search and databases”

Implement efficient similarity search with vector databases.

Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors).

Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns

Expert in vector databases, embedding strategies, and semantic search implementation.

Connect to Supabase for database operations, vector search, and storage.

Patterns for Databricks Vector Search: create endpoints and indexes, query with filters, manage embeddings.

High-performance vector similarity search engine for RAG and semantic search.

Find the questions buyers ask right before they buy — from Search Console, Bing, sales calls, and what ChatGPT, Claude, Gemini and Perplexity answer about…

Triggers on keywords RAG, GraphRAG, vector database, agentic RAG, semantic search

Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin).

Production vector database design, HNSW index optimization, similarity metrics, metadata filtering, and high-performance querying (pgvector, Qdrant, Pinecone).

Vector search best practices for Azure DocumentDB using `cosmosSearch` — choosing between DiskANN / HNSW / IVF, creating indexes, tuning `lBuild` / `lSearch`…

Add semantic search with native vector queries (Laravel 13+); pgvector similarity clauses, embedding workflows, and hybrid search patterns

Fuzzy or regex search databases in Archery cached catalog with instance info.

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…

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

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.

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