Weaviate
App in the BluixApps catalog
What it is
Weaviate is a GraphQL-native vector database with modular ML capabilities — vectorization modules, hybrid search, generative search, semantic question answering. More opinionated than Qdrant: brings batteries (auto-vectorization, RAG modules) rather than pure vector storage.
For teams who want vector DB + RAG framework in one tool, Weaviate is the integrated answer.
What it's for
- RAG with built-in vectorization — ingest text, get embeddings + storage automatically
- Semantic search — natural language queries over your data
- Question answering — built-in QA module on top of vector retrieval
- Hybrid search — dense + sparse (BM25) combined natively
- Multi-modal search — text + images + custom modalities
Who it's for
- AI engineers wanting RAG framework + vector DB in single tool
- Product teams building semantic search without assembling components
- Data scientists prototyping RAG without writing Python orchestration
- Enterprises evaluating open-source vector DB beyond Pinecone
- Researchers experimenting with multi-modal search
Why teams pick Weaviate over alternatives
- GraphQL API — strongly typed, single endpoint, natural for complex queries
- Modular — vectorizer modules abstract embedding choice from index
- Hybrid search native — dense + BM25 combined in single query
- Generative search — built-in RAG with LLM module integration
- BSD-3 license — clean for commercial use
- Strong observability — Prometheus metrics, OpenTelemetry tracing
Integrations
- Vectorizer modules — OpenAI, Cohere, HuggingFace, Sentence-Transformers, custom
- LLM modules — OpenAI, Anthropic, Cohere, Ollama for generative search
- Client SDKs — Python, JavaScript, Go, Java
- Frameworks — LangChain, LlamaIndex, Haystack adapters
- GraphQL + REST — both APIs supported
- Backup destinations — S3-compatible, GCS, Azure Blob, local filesystem
- Observability — Prometheus metrics, distributed tracing
Notable users & community
- 11k+ GitHub stars
- Adopted by Stack Overflow, Cisco, Audacy for production search
- Backed by Weaviate (NL-based) — strong European OSS company
- Active Slack community
- Featured in enterprise RAG architecture guides
Tips & operations
- Module choice locks index — vectorizer module choice can't be swapped post-index; pick carefully
- Sharding strategy from start — multi-shard config is painful to add later
- Persistent volume — index lives at
/var/lib/weaviate; mount from day one - Backup to S3 — built-in backup API + S3 destination = cheap off-site backup
- Resource limits — Weaviate is memory-hungry; size VPS generously for production
- Monitor module health — vectorizer module failures cause silent ingestion errors
What we ship in BluixApps
- Docker compose: Weaviate + persistent storage volume
- Pinned
cr.weaviate.io/semitechnologies/weaviate:1.27.0(release-tagged) - HTTPS via Let's Encrypt; API key auth enabled
- Default vectorizer modules pre-configured (text2vec-ollama, text2vec-openai)
- Auto-detects Ollama on same VPS for local vectorization
- Backup destination configured for S3-compatible storage
- Backup hook covers data volume
Get this app — pick a BluixApps plan
Same catalog. Scaling tenant isolation, white-label and support tier.
| Tier | Tenants | Catalog | Support | White-label | Monthly | |
|---|---|---|---|---|---|---|
| Stacks | 1 | 19 curated stacks | Standard | — | $19/mo | DetailDeploy |
| Starter | 10 | Full catalog | Standard | +$15–25/mo | $49/mo | DetailDeploy |
| Pro | 25 | Full catalog | Priority bugfix | +$15–25/mo | $149/mo | DetailDeploy |
| Growth | 100 | Full catalog | Priority bugfix | +$15–25/mo | $349/mo | DetailDeploy |
| Scale | 500 | Full catalog | 7-day window | +$15–25/mo | $799/mo | DetailDeploy |
| Enterprise | Unlimited | Full catalog | Priority 7-day | Bundled | $1,499/mo | DetailDeploy |
