The end-to-end platform for vector embeddings
Launch impactful vector-based workflows, from data to application within your python notebook.
- Analyze unstructured data using deep learning vectors
- Rapidly experiment and evaluate different vectors
- Deploy API with different vector database backend
- Interactive frontend apps to embed, share insights and drilldown
Trusted by industry leaders
Experiment and deploy vector workflows at scale
Through rapid experimentation and prototyping, Relevance helps teams build out vector-based workflows such as clustering, zero-shot classification, vector search and more rapidly at scale. Helping data teams drive more impact quickly.
Weekly API requests
Effortlessly go from data to production
Experiment and deploy quickly
Extract, store, experiment and deploy vectors into a frontend application. The end-to-end lifecycle all in a few lines of code.
- Easy to use Python Library
- Optimized for developer experience
- Works with common data science libraries and tools
Extract vectors easily from your existing models
Our python library provides integration with familiar sources of vectors such as HuggingFace, SentenceTransformers, TensorFlow, PyTorch, OpenAI and more. Then take those vectors and turn them into workflows and applications that the line of business can derive insights and value with.
- Deployed Internal app and workflow from your model vectors within a few lines of code
One platform to faciliate your workflow
Go end-to-end with the most flexible platform to utilize unstructured data with vectors.
Work with vectors
- Integrations with different vector libraries
- Store vectors and metadata together
- Query & store multiple vectors at once
- Deploy flexibly with different vector database backend
- Flexible clustering from KMeans to HDBScan with support for sub-clustering
- Vector similarity search & matching with brute-force or approximate nearest neighbors
- Embeddings projector for evaluation and intepretation
Combine with essential database features
- Filters & facets
- Real time aggregations
- Keyword matching
- Deploy and schedule workflows
“Relevance AI allowed us to quickly deliver production-quality AI analysis from social media text and images that our 10k+ customers love and have used over 3 million+ times.”
Founder, Sked Social – Top Social Marketing Platform
“Relevance AI has allowed our app developers to create unstructured data insights that our millions of gamers love. We have seen apps where gamers are up to 200% more engaged.”
Director of Business Development, Overwolf – #1 In-game creators platform
“Relevance AI’s capabilities to analyze unstructured data has helped us surface to our users their bad tendencies and provide actionable recommendations to them that have increased our engagement and session times by 200%.”
Founder, Gaming website with 15 million+ monthly traffic
“Relevance AI has not only helped uncover the actionable insights from our unstructured data that helps save millions in repeated construction mistakes. Relevance also helped to further align the business with the data team to become more data-driven.”
GM of Data Science, Listed construction company
No third-party store
Seamless integration with metadata
JSON based hybrid store enables storing and querying of metadata and multiple vector embeddings simultaneously. Integratable with popular data warehouse such as Snowflake, MongoDB, Databricks and more.
- No need to rebuild vector indices
- Just insert your vectors and start running
- Integrate with popular data warehouses
Understand and compare embeddings
Visualize, interpret and evaluate your vector space
Share how your vectors represent the unstructured data, then identify and interpret any biases with interactive visualizations.
- Clustering visualizations
- Embeddings projector
- Compare different vectors
Learn how industry leaders are using vectors
Vectors are the secret sauce behind some of the most powerful features we use every day. Learn about how the tech giants take advantage of vectors.
Stripe’s Vector-based ML Payment Fraud Detection
Learn how Stripe’s vector-based solution works to detect these fraudulent credit card payments
Pinterest’s vector recommendation engine
An insider perspective to decision makers about the benefits of a vector-based recommendation system
Powerful ecommerce search with Taobao
Through the lense of one of the most successful ecommerce companies in the world, we showcase vector search.
Our team is here to help
Our team is ready to help walk you through exactly how you can use vectors to create value out of your unstructured data.Schedule Demo