Trieve
Build AI-powered search and recommendation systems at scale
Target Audience
- Developers building search/recommendation features
- Enterprises managing large document repositories
- E-commerce platforms optimizing product discovery
Hashtags
Overview
Trieve is an API-first infrastructure that helps companies create advanced search experiences and AI recommendations.\nIt combines language models with practical tools for tuning relevance, handling both semantic understanding and traditional keyword search.\nDesigned for developers needing to process billions of data points while maintaining control over ranking and results.
Key Features
Hybrid Search
Blends semantic AI understanding with traditional keyword matching
Custom Ranking
Tune search results to match business goals via API or dashboard
Sub-sentence Highlights
Shows exact matches within long documents for faster discovery
Self-Hosting
Deploy on-premises for sensitive data or maximum performance
Batteries Included
Handles chunking, embeddings, and analytics in one platform
Use Cases
Build enterprise search experiences
Create personalized recommendations
Analyze large document collections
Power e-commerce product discovery
Pros & Cons
Pros
- Combines multiple search methodologies in one API
- Enterprise-scale performance with self-hosting options
- No-code relevance tuning for business teams
- Open-source model integration prevents vendor lock-in
Cons
- Requires technical integration expertise
Frequently Asked Questions
How does Trieve differ from traditional search engines?
Combines semantic AI understanding with traditional search methods, offering hybrid results and business-specific tuning
Can I host Trieve on my own servers?
Yes, self-hosting is supported via Terraform templates with no external dependencies
Is my data used to train AI models?
No - private open-source models run on dedicated servers without data leakage
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