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Description

Enable enterprises and developers to harness advanced neural search, generative AI, and multimodal services by leveraging cutting-edge LMOps, MLOps, and cloud-native technologies. The presence of multimodal data is ubiquitous, ranging from straightforward tweets and Instagram photos to short TikTok videos, audio clips, Zoom recordings, PDFs containing diagrams, and 3D models in gaming. While this data is inherently valuable, its potential is often obscured by various modalities and incompatible formats. To facilitate the development of sophisticated AI applications, it is essential to first address the challenges of search and creation. Neural Search employs artificial intelligence to pinpoint the information you seek, enabling a description of a sunrise to correspond with an image or linking a photograph of a rose to a melody. On the other hand, Generative AI, also known as Creative AI, utilizes AI to produce content that meets user needs, capable of generating images based on descriptions or composing poetry inspired by visuals. The interplay of these technologies is transforming the landscape of information retrieval and creative expression.

Description

Vald is a powerful and scalable distributed search engine designed for fast approximate nearest neighbor searches of dense vectors. Built on a Cloud-Native architecture, it leverages the rapid ANN Algorithm NGT to efficiently locate neighbors. With features like automatic vector indexing and index backup, Vald can handle searches across billions of feature vectors seamlessly. The platform is user-friendly, packed with features, and offers extensive customization options to meet various needs. Unlike traditional graph systems that require locking during indexing, which can halt operations, Vald employs a distributed index graph, allowing it to maintain functionality even while indexing. Additionally, Vald provides a highly customizable Ingress/Egress filter that integrates smoothly with the gRPC interface. It is designed for horizontal scalability in both memory and CPU, accommodating different workload demands. Notably, Vald also supports automatic backup capabilities using Object Storage or Persistent Volume, ensuring reliable disaster recovery solutions for users. This combination of advanced features and flexibility makes Vald a standout choice for developers and organizations alike.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace
Docker
Go
IBM watsonx.data
Java
Jina Search
Kubernetes
LiteLLM
Node.js
Pinecone Rerank v0
Python
Sim Studio

Integrations

Azure Marketplace
Docker
Go
IBM watsonx.data
Java
Jina Search
Kubernetes
LiteLLM
Node.js
Pinecone Rerank v0
Python
Sim Studio

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Jina AI

Founded

2020

Country

Germany

Website

jina.ai/

Vendor Details

Company Name

Vald

Website

vald.vdaas.org

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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