Transform your RAG Architecture with Green Vectors
Stop choosing between search accuracy and speed. Our optimization layer makes your RAG architecture perform at any scale.
Why Green Vectors?
Cut Through the Noise
Stop endless parameter tuning as your vector data expands. Our layer handles the complexity so you can focus on building
Scale Without Breaking
More documents shouldn't mean slower responses. Keep your RAG performance consistent as your knowledge base grows without overspending on storage
Retrieve What Matters
Your LLM is only as good as its context. Our vector optimization delivers the most relevant data for every query
Priority Implementation
Get dedicated support from our vector optimization experts to supercharge your RAG pipeline
Shape The Future
Direct influence on feature development as we build the next generation of vector optimization
Technical Partnership
Work directly with our team to optimize your specific RAG architecture and use cases
Custom Integration
Tailored deployment support to seamlessly integrate Green Vectors into your existing stack
Green Vectors seamlessly integrates into your existing archtecture
Green Vectors FAQ
How does Green Vectors integrate with my existing RAG pipeline?
Green Vectors acts as an optimization layer between your vector database and RAG application, requiring minimal changes to your existing architecture.
Which vector databases are compatible with Green Vectors?
During our beta, we're prioritizing integration with popular vector databases such as PosgtgreSQL + pg_vector and Qdrant
Will I need to modify my embedding model?
No. Green Vectors works with your existing embedding models and doesn't require any changes to your embedding pipeline.
How does Green Vectors improve search accuracy?
Our patent-pending algorithm optimizes how vectors are organized and retrieved, ensuring more contextually relevant results for your RAG queries.
What's involved in the beta program?
Beta partners get early access to the technology, dedicated implementation support, and direct input into feature development. We work closely with each partner to optimize for their specific use case.
Do I need to change my LLM configuration?
No. Green Vectors optimizes the vector operations layer without requiring changes to your LLM setup or prompt engineering.
Is there a minimum data size requirement for the beta?
While Green Vectors can work with any data size, the benefits become more apparent with larger vector datasets. We recommend having at least 10,000 vectors for meaningful testing.
Apply for Beta Access
Tell us about your vector search challenges, and we'll explore how Green Vectors can optimize your RAG pipeline.
About Us
Making Data Intelligence Instant
At Morphos AI, we're tackling the fundamental challenge holding back AI applications: the growing gap between data potential and practical limitations. Our team of vector optimization experts is dedicated to one mission: making any amount of data instantly valuable and actionable.
Through Green Vectors, our patent-pending technology, we're removing the technical barriers that force companies to choose between comprehensive AI coverage and performance. We believe the only limit to AI innovation should be imagination, not infrastructure.
