Search
Vector database and search functionality for Peam
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is Search?
Peam's vector database and search functionality provides efficient storage and retrieval of high-dimensional vectors, ideal for applications requiring similarity searches.
Key differentiator
“Peam offers a self-hosted, efficient solution for storing and retrieving high-dimensional vectors, optimized specifically for similarity searches.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Developers building self-hosted vector database solutions who need efficient similarity searches.
Data scientists working on projects requiring high-dimensional vector storage and retrieval.
✕ Not a fit for
Teams needing real-time streaming capabilities as Peam is batch-oriented
Projects with strict budget constraints due to the self-hosting requirement
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with Search
Step-by-step setup guide with code examples and common gotchas.