20 Redis Search alternatives
Redis Search: Redis' own guidance for FT.CREATE schema design, FT.SEARCH / FT.AGGREGATE / FT.HYBRID, HNSW vector similarity and RAG retrieval pipelines. 20 agent skills do similar work, most sharing Database, RAG and Search, ranked by how much they have in common with Redis Search.
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by OpenSearch Project
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.
Also: RAG, Search, Vector Search
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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.
Also: RAG, Search, Vector Search
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by Brave
Brave's official search skill: one CLI that searches, scrapes and extracts in a single call, returning token-budgeted web content instead of a list of links.
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by Hugging Face
Train bi-encoders, rerankers, SPLADE sparse encoders and ColBERT multi-vector models with the loss, evaluator and template each type actually needs.
Also: Vector Search
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by Brave
Brave's official skill for the Brave Search API — ranked web results with snippets and thumbnails, freshness and SafeSearch filters, search operators, pagination, and Goggles for custom ranking.
Also: Search
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by Weaviate
Weaviate's official skill for searching and managing vector collections — hybrid, semantic and keyword search, schema inspection, filtered fetches and bulk imports.
Also: RAG
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by Qdrant
Qdrant's meta-skill: instead of shipping static docs, it loads the current official Qdrant skill tree live from skills.qdrant.tech and diagnoses from that.
Also: RAG
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by docling-project (IBM)
Parse, convert, chunk, and structurally analyze PDFs, DOCX, PPTX, HTML, and images with IBM's open-source Docling toolkit.
Also: RAG
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by NVIDIA
Deploy, configure and troubleshoot the NVIDIA RAG Blueprint from your agent — Docker Compose, Helm or library, with feature toggles for VLM, guardrails and agentic RAG.
Also: RAG
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by Netlify
Netlify's official skill for zero-config managed Postgres — querying from Functions, Drizzle setup, migrations and per-preview database branches.
Also: Database
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by PlanetScale
The master skill in PlanetScale's official pack: runs a full read-only best-practices assessment of a database or org, then produces one evidence-backed report.
Also: Database
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by Convex
Convex's official top-level agent skill — routes an agent to the right convex-* skill for the task and to a served capability catalogue that stays current without a reinstall.
Also: Database
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by Supabase
Supabase's official skill covering Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron and Queues — with a hard rule to verify against the live changelog before writing code.
Also: Database
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by Better Auth
The reference an agent needs to configure Better Auth correctly: adapters, session strategy, hooks, plugins, type safety and the gotchas that bite in production.
Also: Database
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by Tinybird
Tinybird's own datafile and SQL rules for coding agents — datasources, pipes, endpoints, materialized views, deduplication and query optimisation.
Also: Database
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by PlanetScale
How to drive the PlanetScale CLI non-interactively: --format json everywhere, auth check before anything else, pscale sql instead of pscale shell, correct flag placement.
Also: Database
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by PlanetScale
PlanetScale's approval contract for agents: five operation classes that decide what a database agent may do freely, what needs a named approval, and what it must never do alone.
Also: Database
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by MongoDB
MongoDB's official skill for connection pools and timeouts — it refuses to hand you numbers until it knows your deployment, workload and concurrency.
Also: Database
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by .NET Team at Microsoft
Make slow Entity Framework Core queries fast — read the generated SQL first, fix N+1s, cartesian Include explosions and non-sargable predicates, then re-measure one change at a time.
Also: Database
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by Supabase
Supabase's official Postgres skill — eight rule categories ranked by impact, each with wrong-vs-right SQL and EXPLAIN output, for schema, RLS, indexing and query work on Postgres anywhere.
Also: Database
