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Average Ratings 0 Ratings
Description
Belva's AiDB is an innovative database optimized for artificial intelligence, specifically tailored to enhance large language models by automatically generating relational maps that improve the model's intelligence with every new input, all while utilizing fewer context tokens and yielding superior outcomes without requiring additional tuning. With just 15 lines of code, you can establish a knowledge base that boosts AI capabilities, minimizes context token consumption, and easily adapts to increasing demands. The setup for AiDB takes only 5 minutes, making it a more efficient choice than custom retrieval-augmented generation systems. One API key is all you need to harness the power of AiDB. Transitioning to AiDB allows your language models to achieve more with minimal coding. At Belva, we have redefined the way artificial intelligence interacts with data. Thanks to our innovative indexing and relational mapping techniques, traditional context windows become almost unnecessary. By incorporating AiDB into your technology stack, you will witness remarkable improvements in your AI's performance. If your AI relies on or requires a knowledge base, AiDB is an essential addition. Enhanced efficiency translates to reduced resource wastage as you scale up operations, making AiDB an indispensable tool for modern AI solutions.
Description
Deeplake is an AI data runtime and GPU database built for teams developing agents, RAG systems, multimodal applications, robotics workflows, and generative media products. It is designed to solve the gap between GPU-powered AI models and CPU-bound data systems by keeping data closer to where AI workloads execute. The platform supports serverless Postgres, vector search, multimodal data storage, analytical workloads, and AI-optimized data lake functionality. Deeplake helps agents remember, retrieve, and act in fast cycles, making it useful for systems that need repeated context retrieval across long-running tasks. It can manage complex data such as video, images, point clouds, sensors, PDFs, audio, embeddings, model weights, and structured records. Developers can use familiar database concepts while gaining support for GPU-speed retrieval and scalable AI data operations. The platform is positioned for production-grade AI use cases where agents may generate databases, query thousands of times, and require faster memory access. Deeplake also supports private deployment patterns, including VPC environments, so organizations can keep sensitive data within their own infrastructure. With open-source adoption, enterprise security credentials, and a focus on agentic workloads, Deeplake helps AI teams build faster and more efficient data systems.
API Access
Has API
API Access
Has API
Integrations
Activeloop
Amazon SageMaker
Amazon Web Services (AWS)
Belva Engineer
ChatGPT
Google Cloud Platform
Jupyter Notebook
LangChain
OpenAI
PyTorch
Integrations
Activeloop
Amazon SageMaker
Amazon Web Services (AWS)
Belva Engineer
ChatGPT
Google Cloud Platform
Jupyter Notebook
LangChain
OpenAI
PyTorch
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Belva
Country
United States
Website
www.belva.ai/aidb
Vendor Details
Company Name
Activeloop
Founded
2018
Country
United States
Website
deeplake.ai/