Pay only for what you use.

Our pricing is simple and transparent.

Storage
$ 1 GB/Month
For storing your vectors and metadata with confidence.
  • Unlimited Datasets
  • Storing vectors and metadata in one place
  • Out of the box models to vectorise
  • Metadata facets & filters
  • First class vector support for vector data wrangling and operations
  • Customisable Replication and Shards
Compute
$ 0.005 Request/Month
For searching, aggregating and clustering your vectors and metadata.
  • Fast vector similarity search
  • Flexible vector search (hybrid, multi-vector, chunk-vector, multistep)
  • Boost vector search with hybrid approaches (traditional keywords matching, filtering)
  • Aggregations, Clustering, Dimensionality reduction, and more
Enterprise
Contact Us
For larger teams that need high resiliency, ultra-low latency and data residency requirements
  • Global multi-region replication
  • Service SLAs
  • Isolated environment
  • Fine-grained access controls
  • Always-on backups
  • Dedicated support

Features

Vector Database Features Basic Enterprise
Real-time & Persistent
Search & Analyse your vectors as soon as it gets inserted in real-time, no index rebuilding required.
Single Store for Metadata & Vectors
Store your metadata and multiple vectors in 1 document and database just like a normal database.
Vector Aggregation
Aggregate vectors in your collection with groupbys to create new collections
Vector Transforms
Transform vectors in your collection through append, slice and modify
Customisable Replicas & Shards
Customise the amount of shards and replicas for each collection
Metadata Features Basic Enterprise
Facets & Filters
Retrieve facets and filters of your data, to enhance your vector search or analyse subsets of the data
Aggregation
Perform aggregations to understand more about your data and vectors
Search Features Basic Enterprise
Vector Similarity Search
Fast nearest neighbours vector similarity search
Hybrid Search
Combine vectors with traditional keyword matching and boosting
Chunk Search
Vector search against chunks (e.g. sentences of paragraphs, images of videos, etc)
Highly Customisable Search
Customise the scoring with different distance metrics, or compare different queries
Diversity Search
Clustered search results for diverse range of results
Multivector Search
Combine multiple vectors, chunk vectors and traditional for ultimate search
GPU Vector Search
GPU based nearest neighbours for searching through billions and millions of vectors
Vector Analytics Features Basic Enterprise
Dimensionality Reduction
Compress, understand and plot your vectors using dimensionality reduction
Clustering & Cluster Aggregation
Group and understand your vectors using clustering and aggregations
Tagging
Tag your data using vectors from either a user provided tag dictionary or our repository
Deduplication
Deduplicate your data using vectors, on insert or batch
Evaluation Features Basic Enterprise
Vector Evaluation
Compare and evaluate the different performance of your vectors
Search History Store
Store and evaluate your search, recommendations, etc.
Vector Embedding Projector
Visualise and interpret your vectors
Encoder Features Basic Enterprise
Basic Encoders
Encode arrays, dictionaries and fields into vectors
Vector Hub Encoding
Access our massive library of encoders and deep learning embedding models
Premium Vector Hub Encoding
Access our massive library of encoders and deep learning embedding models, created by VecDB
Model Finetuning & Pretraining
Finetune or pretrain models with feedback data or existing metadata using managed pipelines
Dedicated Model Deployment
Deploy dedicated and isolated encoders and vector models for high throughout and zero congestion.
XAI Vectors
Vectors designed for explainable A.I
Timeseries Vectors
Vectors designed for time series data
Monitoring & Security Features Basic Enterprise
Secure Data Sharing & Replication
Securely share your data with other teams or organisations.
Read Key Provisioning
Provision and deactivate keys for read only access
Fine-grained Access Control
Fine grained access control for different projects, datasets, deployments, etc
Isolated & Dedicated Environment
Dedicated deployment and environment for isolated network, data store and hardware
Multi-region Replication
Multi-region replication for low latency access anywhere in the world

Questions & Answers

  • VecDB is a vector database for storing, searching, comparing and analysing vectors. Built for machine learning and for the cloud. With VecDB you can quickly prototype and productionise vector based applications like search, recommendations, personalisation, anomaly detection, similarity search, and many many more.

  • Vector embeddings are meaningful numerical representations of rich data in multi-dimensional space. Vectors can be used to represent any kind of data, such as image, text, audio, videos, users, etc. Once data is represented as vectors it is now possible to accurately search and analyse them using machine learning. It is challenging to develop the resources and infrastructure for generating, searching and analysing vectors. But there’s no escaping the fact: you need vector technology to deliver the best recommendation, discovery, search and translation systems. To learn more: https://getvectorai.com/blog/what-are-vectors-the-silent-disrupter/.

  • Since VecDB is available through an API it can be ran on any device with an active internet connection. VecDB is a managed database in the cloud so you don't have to maintain, update or scale any service.

  • For Python we have made a SDK to make the experience as seamless as possible. For example, you can insert your pandas dataframe directly into VecDB with our python SDK. However, if you prefer to interact with the API directly you can still do so.

Ready to get started?

We have a 30 day trial to get you started right away.