[![License: Apache 2.0](https://img.shields.io/github/license/vdaas/vald.svg?style=flat-square)](https://opensource.org/licenses/Apache-2.0) [![release](https://img.shields.io/github/release/vdaas/vald.svg?style=flat-square)](https://github.com/vdaas/vald/releases/latest) [![CNCF Landscape](https://img.shields.io/badge/CNCF%20Landscape-5699C6)](https://landscape.cncf.io/?item=app-definition-and-development--database--vald) [![Go Reference](https://pkg.go.dev/badge/github.com/vdaas/vald.svg)](https://pkg.go.dev/github.com/vdaas/vald) [![Codacy Badge](https://img.shields.io/codacy/grade/a6e544eee7bc49e08a000bb10ba3deed?style=flat-square)](https://www.codacy.com/app/i.can.feel.gravity/vald?utm_source=github.com&utm_medium=referral&utm_content=vdaas/vald&utm_campaign=Badge_Grade) [![Go Report Card](https://goreportcard.com/badge/github.com/vdaas/vald?style=flat-square)](https://goreportcard.com/report/github.com/vdaas/vald) [![FOSSA Status](https://app.fossa.com/api/projects/custom%2B21465%2Fvald.svg?type=small)](https://app.fossa.com/projects/custom%2B21465%2Fvald?ref=badge_small) [![DeepSource](https://static.deepsource.io/deepsource-badge-light-mini.svg)](https://deepsource.io/gh/vdaas/vald/?ref=repository-badge) [![DeepSource](https://deepsource.io/gh/vdaas/vald.svg/?label=resolved+issues&show_trend=true&token=UpNEsc0zsAfGw-MPPa6O05Lb)](https://deepsource.io/gh/vdaas/vald/?ref=repository-badge) [![CLA](https://cla-assistant.io/readme/badge/vdaas/vald?&style=flat-square)](https://cla-assistant.io/vdaas/vald) [![Artifact Hub](https://img.shields.io/badge/chart-ArtifactHub-informational?logo=helm&style=flat-square)](https://artifacthub.io/packages/chart/vald/vald) [![Slack](https://img.shields.io/badge/slack-join-brightgreen?logo=slack&style=flat-square)](https://join.slack.com/t/vald-community/shared_invite/zt-db2ky9o4-R_9p2sVp8xRwztVa8gfnPA) [![Twitter](https://img.shields.io/badge/twitter-follow-blue?logo=twitter&style=flat-square)](https://twitter.com/vdaas_vald) ## What is Vald? Vald is a highly scalable distributed fast approximate nearest neighbor (ANN) dense vector search engine. Vald is designed and implemented based on Cloud-Native architecture. 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. It uses the fastest ANN Algorithm [NGT](https://github.com/NGT-labs/NGT) to search neighbors. (If you are interested in ANN benchmarks, please refer to [ann-benchmarks.com](https://ann-benchmarks.com/).) For more information, please refer to [Official Web Site](https://vald.vdaas.org).

Vald can handle any object data, image, audio processing, video, text, binary, or etc., if converting to the vector, and be used for: - Recognition - Recommendation - Detecting - Grammar checker - Real-time translator - anything you want to do! ## Requirements - Kubernetes 1.19~ - AVX2 instructions (required by Vald Agent NGT) ## Get Started Go to [Get Started](https://vald.vdaas.org/docs/tutorial/get-started) page to try out Vald ! ## Installation ### Using Helm ```shell helm repo add vald https://vald.vdaas.org/charts helm install vald-cluster vald/vald ``` If you use the default values.yaml, the `nightly` images will be installed. ### Using Helm-operator Please refer to [vald-helm-operator](https://github.com/vdaas/vald/blob/main/charts/operator/helm). ## Components

Component	Docker image	latest image	nightly image
Agent NGT
Agent Sidecar
Discoverer
Gateways
Index Manager
Helm Operator

Docker images tagging policy: - `nightly` ... latest build of main branch - `vX.X.X` ... released versions - `latest` ... latest build of release versions - `stable` ... latest long-term supported version ## Tools - [SDK](https://vald.vdaas.org/docs/user-guides/sdks/): Official client libraries - [Demo](https://github.com/vdaas/vald-demo): Demo repository using sample data ## Vald Users

## Contribution Please read the [contribution guide](https://vald.vdaas.org/docs/contributing/contributing-guide). Before your first commit to this repository, it is strongly recommended to run the commands below. ```shell git clone https://github.com/vdaas/vald && cd vald make init ``` ## Contributors [![All Contributors](https://img.shields.io/badge/all_contributors-27-orange.svg?style=flat-square)](#contributors) Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):

_{Yusuke Kato} 💻 🎨 🚧 📆	_{Rintaro Okamura} 💻 📖 🚧 📦	_{Kosuke Morimoto} 💻 💡 🔧 ⚠️	_{Kiichiro YUKAWA} 📖 🚧 ⚠️ ✅	_datelier 💻 🤔	_{Kevin Diu} 📖 💡 ⚠️ ✅	_{Hiroto Funakoshi} 📖 🔧 ⚠️ ✅
_taisho 🎨 📖 💡	_{Pierre Grimaud} 📖	_{Omer Katz} 📖 ✅	_{Koichi Shiraishi} ️️️️♿️	_{Siyuan Liu} ️️️️♿️ 💡	_{David Calvert} 📖	_takuyaymd 🐛 💻 🚧
_junsei-ando 📖	_{Yusuke Kadowaki} 💻 ⚠️	_aknishid 💻 🚧 📖	_{Hrichik Mazumder} 📖	_{Shunya Morihira (森平隼矢)} 🔧 💻	_miyamoto 💻 🔬	_s-shiraki ⚠️ 💻
_irokaru 🐛 💻	_Matts966 💻 🚇 🚧 👀	_Kynea0b 📖	_{Jumpei Tanikawa} 💻 🚧	_{白神晴陽} 🔧 💻	_nac-39 🚇

## LICENSE Vald released under Apache 2.0 license, refer [LICENSE](https://github.com/vdaas/vald/blob/main/LICENSE) file. [![FOSSA Status](https://app.fossa.com/api/projects/custom%2B21465%2Fvald.svg?type=large)](https://app.fossa.com/projects/custom%2B21465%2Fvald?ref=badge_large)