| Overview |
Amazon's managed service providing access to leading foundation models from AI21, Anthropic, Cohere, Meta, and more. |
Purpose-built vector database API for similarity search and retrieval-augmented generation at production scale. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium ($-$$$$) |
| Key Features |
- Multi-model access
- Fine-tuning
- RAG
- Agents
- Guardrails
- Knowledge bases
- Provisioned throughput
|
- Vector search
- Serverless
- Sparse-dense
- Metadata filtering
- Namespaces
- Collections
- Hybrid search
|
| Pros |
- Enterprise-grade
- Multiple model providers
- AWS integration
- Security features
|
- Easy to use
- Fully managed
- Fast queries
- Good documentation
|
| Cons |
- Complex pricing
- AWS lock-in
- Steeper learning curve
- Region limitations
|
- Can be expensive
- Vendor lock-in
- Limited query features
- No self-hosting
|
