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
Read this app's deep dive on bluix.app ↗

Get this app — pick a BluixApps plan

Same catalog. Scaling tenant isolation, white-label and support tier.

TierTenantsCatalogSupportWhite-labelMonthly
Stacks119 curated stacksStandard$19/moDetailDeploy
Starter10Full catalogStandard+$15–25/mo$49/moDetailDeploy
Pro25Full catalogPriority bugfix+$15–25/mo$149/moDetailDeploy
Growth100Full catalogPriority bugfix+$15–25/mo$349/moDetailDeploy
Scale500Full catalog7-day window+$15–25/mo$799/moDetailDeploy
EnterpriseUnlimitedFull catalogPriority 7-dayBundled$1,499/moDetailDeploy

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