+
+

Related Products

  • UnForm
    19 Ratings
    Visit Website
  • Couchbase
    418 Ratings
    Visit Website
  • Cloudflare
    2,042 Ratings
    Visit Website
  • LeaseAccounting.app
    Visit Website
  • Sharesight
    566 Ratings
    Visit Website
  • NINJIO
    416 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • ZenTreasury
    9 Ratings
    Visit Website
  • Comet Backup
    218 Ratings
    Visit Website
  • Sumsub
    227 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

Vectara is LLM-powered search-as-a-service. The platform provides a complete ML search pipeline from extraction and indexing to retrieval, re-ranking and calibration. Every element of the platform is API-addressable. Developers can embed the most advanced NLP models for app and site search in minutes. Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more. Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding. Segment data into any number of indexes storing vector encodings optimized for low latency and high recall. Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models. Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results. Zero in on the true likelihoods that the retrieved response represents a probable answer to the query.

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

Companies interested in a powerful AI neural search solution for sites, documents, and apps

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
Open source
Free Version
Free Trial

Pricing

Free
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

Vectara
Founded: 2020
United States
vectara.com

Alternatives

Alternatives

Embeddinghub

Embeddinghub

Featureform
Semantee

Semantee

Semantee.AI
txtai

txtai

NeuML
INTERGATOR

INTERGATOR

interface projects

Categories

Categories

Integrations

IBM watsonx.data
Datavolo
Docker
Go
Java
Kubernetes
Langflow
Model Context Protocol (MCP)
Node.js
Python

Integrations

IBM watsonx.data
Datavolo
Docker
Go
Java
Kubernetes
Langflow
Model Context Protocol (MCP)
Node.js
Python
Claim Vald and update features and information
Claim Vald and update features and information
Claim Vectara and update features and information
Claim Vectara and update features and information