Take an OpenSearch search application from requirements to a running cluster — BM25, dense and sparse vectors, hybrid retrieval, agentic search and RAG, with relevance evaluation built in.
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Vector Search
Nearest-neighbour retrieval over embeddings, often alongside classic keyword indexes.
3 skills and 3 MCP servers tagged Vector Search.
Skills
Redis' own guidance for FT.CREATE schema design, FT.SEARCH / FT.AGGREGATE / FT.HYBRID, HNSW vector similarity and RAG retrieval pipelines.
1 views
Skill: MongoDB Search & AI
by MongoDB
MongoDB's official skill for choosing between Atlas Search, Vector Search and Hybrid Search, then building the right indexes and queries for the use case.
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MCP servers
Official MCP server for Meilisearch — create and configure indexes, add documents, run hybrid and semantic searches, and manage API keys and tasks through conversation.
Databricks-hosted MCP endpoints that expose Unity Catalog functions, Genie spaces, Vector Search indexes and Databricks SQL to agents, with UC permissions enforced.
MCP: Redis
by Redis
Redis's official MCP server — read and write every Redis data structure, including vector search and streams.
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