Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Weaviate
Build vector search with Weaviate using v4 syntax, proper module configuration, and production-ready patterns.
skill openclawclawhub Free
Build vector search with Weaviate using v4 syntax, proper module configuration, and production-ready patterns.
โฌ 0 downloads โ
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, modules.md, operations.md, v4-syntax.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Critical: v4 Only (Dec 2024+)
v3 syntax is DEPRECATED. Before generating ANY Weaviate code: Verify client version โ must be weaviate-client>=4.0 Use context managers โ with weaviate.connect_to_*() as client: or explicit client.close() New imports โ from weaviate.classes.config import Configure, Property If you see v3 patterns (weaviate.Client(), client.schema.create_class(), path=[...] filters), stop and rewrite.
Quick Reference
TopicFilev3โv4 migration tablev4-syntax.mdModule configurationmodules.mdBatch, hybrid, HNSWoperations.md
v4 Syntax Essentials
# Connection (ALWAYS close) with weaviate.connect_to_local() as client: # Collections (not classes) collection = client.collections.get("Article") # Queries response = collection.query.hybrid("search term", alpha=0.7) # Vector access vector = obj.vector["default"] # Dict, not List # Filters Filter.by_property("category").equal("tech")
Scope
This skill covers: Schema design for RAG and semantic search Vectorizer and reranker module configuration Batch imports with error handling Hybrid search tuning (alpha parameter) HNSW index configuration for scale
1. Always Verify Modules
Before using text2vec-openai, generative-openai, or rerankers, verify they're enabled: # docker-compose.yml ENABLE_MODULES: 'text2vec-openai,generative-openai,reranker-cohere'
2. API Keys in Headers
client = weaviate.connect_to_local( headers={"X-OpenAI-Api-Key": os.environ["OPENAI_API_KEY"]} )
3. Batch with Context Manager
with client.batch.dynamic() as batch: for item in data: batch.add_object(properties=item, collection="Name")
4. Hybrid Search Alpha
alpha=0 โ BM25 only (keyword) alpha=1 โ Vector only (semantic) alpha=0.5-0.75 โ Balanced (typical for RAG)
5. Apply Filters BEFORE Vector Search
Filters in where reduce the search space first โ always filter before near_text/near_vector.
6. Named Vectors vs Single Vector
Choose one pattern per collection: # Single vector (simpler) vectorizer_config=Configure.Vectorizer.text2vec_openai() # Named vectors (multiple embeddings per object) vector_config=[ Configure.Vectors.text2vec_openai(name="content", source_properties=["body"]), ]
7. Debug Empty Results
Check in order: schema exists โ vectorizer ran โ distance threshold โ filter syntax. Use _additional { vector } to verify vectors were generated.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
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Package contents
Included in package
4 Docs
- SKILL.md
- modules.md
- operations.md
- v4-syntax.md