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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AICosts.ai Yes 
Airtool Yes 
Amazon Web Services (AWS) Yes 
Apify Yes 
Azure Marketplace Yes 
ChatGPT Yes 
ChatGPT Pro Yes 
Coral Yes 
Cyclr Yes 
Fineas Yes 
Jamba Yes 
Kubernetes No 
LLMWare.ai Yes 
MCPTotal Yes 
Opik Yes 
Orb Yes 
Pinecone Rerank v0 Yes 
Python No 
Sim Yes 
Voxel51 Yes 

Integrations

AICosts.ai No 
Airtool No 
Amazon Web Services (AWS) No 
Apify No 
Azure Marketplace No 
ChatGPT No 
ChatGPT Pro No 
Coral No 
Cyclr No 
Fineas No 
Jamba No 
Kubernetes Yes 
LLMWare.ai No 
MCPTotal No 
Opik No 
Orb No 
Pinecone Rerank v0 No 
Python Yes 
Sim No 
Voxel51 No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Pinecone

Founded

2019

Country

United States

Website

www.pinecone.io

Vendor Details

Company Name

Vald

Website

vald.vdaas.org

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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