weaviate

The vector-database skill that ships executable scripts rather than prose — the agent runs the query instead of describing it.

Score 0(?)VerifiedCodeby WeaviateSourceDocs
Verified for:

Install

$ npx skills add weaviate/agent-skills --skill weaviate

Needs WEAVIATE_URL and WEAVIATE_API_KEY, plus a vectorizer provider key. Bundles 13 Python scripts for search, import and collection management.

Best for

Actually operating a Weaviate instance from the agent: creating collections, importing files, and running semantic, keyword, and hybrid queries.

Not ideal for

Read-only exploration with no credentials. It needs WEAVIATE_URL, an API key, and a vectorizer provider key, and it creates collections and imports data — so point it at a scratch instance first.

About this skill

Search, query, and manage Weaviate vector database collections. Use for semantic search, hybrid search, keyword search, natural language queries with AI-generated answers, collection management, data exploration, filtered fetching, data imports from PDF/CSV/JSON/JSONL files, creating example data, and collection creation.

WeaviateVector searchHybrid search

Score breakdown

Score breakdown

rubric 1.0
Install count
0/20
Provenance
12.8/15
GitHub stars
5.7/15
Recency
6/10
Compatibility
2/10
Documentation depth
10/10
Install ergonomics
10/10
License
5/5
Verification freshness
0.5/5

Composite 0–100 score derived from 9 verifiable signals. See the rubric →

PlanetScale's schema branching and index-aware queries, packaged for agents.

SchemaMigrationsMySQL
Code
Medium4 min

Supabase done right. RLS policies, edge functions, realtime, auth — in idiomatic patterns.

PostgresRLSRealtime
Code
Medium4 min

Prisma migrations and queries by the book. Index-aware, migration-safe, type-correct.

PrismaTypeScriptMigrations
Code
Medium3 min

Ranked #12 in Databases

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weaviate — ranked #12 in Databases on Top Agent Skills
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Skill FAQ

About weaviate

What is the weaviate skill?

Search, query, and manage Weaviate vector database collections. Use for semantic search, hybrid search, keyword search, natural language queries with AI-generated answers, collection management, data exploration, filtered fetching, data imports from PDF/CSV/JSON/JSONL files, creating example data, and collection creation.

Which agents does weaviate work with?

Claude Code.

How do I install weaviate?

Run `npx skills add weaviate/agent-skills --skill weaviate` for Claude Code. See the install panel for per-agent commands.

Is weaviate free to use?

Yes — weaviate is open source (BSD-3-Clause).

Who maintains weaviate?

weaviate is published by Weaviate and was last updated on 2026-04-01.

What is weaviate best for?

Actually operating a Weaviate instance from the agent: creating collections, importing files, and running semantic, keyword, and hybrid queries.