What Is Weaviate?
Weaviate is an open-source vector database built in Go. It supports hybrid search combining vector similarity with BM25 keyword search. Built-in ML model integration allows automatic embedding generation.
What Weaviate Costs
Self-hosted is free. Weaviate Cloud pricing: - Serverless: Pay per use - Dedicated: From $135/month for basic clusters
Self-hosting requires infrastructure costs.
Pricing Note
Self-hosting may be cheaper at scale but requires DevOps expertise.
What Weaviate Does Well
Hybrid Search
Combine vector and keyword search for better relevance.
Built-in ML
Automatic embedding generation with integrated models.
GraphQL API
Query with GraphQL for complex filtering and aggregations.
Cloud + Self-hosted
Choose between managed cloud or self-hosted deployment.
Integrations
LangChain, LlamaIndex, and embedding provider support.
Modules
Extensible with text2vec, img2vec, and other modules.
Where Weaviate Falls Short
Self-hosting requires infrastructure expertise. GraphQL API has a learning curve. Smaller community than Pinecone.
Pros and Cons Summary
✓ The Good Stuff
- Open source and self-hostable
- Hybrid search capability
- Built-in ML models
- Strong feature set
✗ The Problems
- Self-hosting complexity
- GraphQL learning curve
- Smaller community
Should You Use Weaviate?
- You want open source with self-hosting option
- You need hybrid search
- You have DevOps resources
- You want purely managed service
- You prefer simpler APIs
- No infrastructure expertise
Weaviate Alternatives
| Tool | Strength | Pricing |
|---|---|---|
| Pinecone | Fully managed, no ops | Serverless |
| Qdrant | Rust-based, high performance | Free + Cloud |
🔍 Questions to Ask Before Committing
- Do we want self-hosted or managed?
- Do we need hybrid search?
- Do we have DevOps resources?
The Bottom Line
Weaviate is the best open-source vector database for teams wanting flexibility and control. Hybrid search is genuinely useful for many RAG applications.