+
+

Related Products

  • UnForm
    19 Ratings
    Visit Website
  • Couchbase
    412 Ratings
    Visit Website
  • Cloudflare
    2,026 Ratings
    Visit Website
  • LeaseAccounting.app
    Visit Website
  • Sharesight
    566 Ratings
    Visit Website
  • ZenTreasury
    9 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • NINJIO
    416 Ratings
    Visit Website
  • Comet Backup
    218 Ratings
    Visit Website
  • Planfix
    57 Ratings
    Visit Website

About

Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which made for searching from billions of feature vector data. Vald is easy to use, feature-rich and highly customizable as you needed. Usually the graph requires locking during indexing, which cause stop-the-world. But Vald uses distributed index graph so it continues to work during indexing. Vald implements its own highly customizable Ingress/Egress filter. Which can be configured to fit the gRPC interface. Horizontal scalable on memory and cpu for your demand. Vald supports to auto backup feature using Object Storage or Persistent Volume which enables disaster recovery.

About

Build a natural language interface for your data. NLP is at the core of modern enterprise data processing. We provide developers with the right tools to build production-ready NLP systems quickly and efficiently. Our open-source framework for scalable, API-driven NLP application architectures. We believe in sharing. Our software is open source. We value our community, and we make modern NLP easily accessible, practical, and scalable. Natural language processing (NLP) is a branch of AI that enables machines to process and interpret human language. In general, by implementing NLP, companies can leverage human language to interact with computers and data. Areas of NLP include semantic search, question answering (QA), conversational AI (chatbots), semantic search, text summarization, question generation, text generation, machine translation, text mining, speech recognition, to name a few use cases.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers interested in a powerful vector search engine and database

Audience

Developers interested in a solution designed to help them build production-ready NLP systems

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Vald
vald.vdaas.org

Company Information

deepset
Germany
www.deepset.ai/

Alternatives

Alternatives

Cohere

Cohere

Cohere AI
Embeddinghub

Embeddinghub

Featureform
txtai

txtai

NeuML
txtai

txtai

NeuML
Haystack

Haystack

deepset

Categories

Categories

Integrations

Docker
Go
IBM watsonx.data
Java
Kubernetes
Node.js
Pinecone
Python
Unremot

Integrations

Docker
Go
IBM watsonx.data
Java
Kubernetes
Node.js
Pinecone
Python
Unremot
Claim Vald and update features and information
Claim Vald and update features and information
Claim deepset and update features and information
Claim deepset and update features and information