OverviewAn end-to-end platform to design, build and launch context-augmented AI applications
The Discovery platform is an end-to-end solution for building, deploying, and scaling context-augmented AI applications with a low-code, cloud-native approach that integrates seamlessly into existing ecosystems. It ensures scalability, resilience and observability, with flexible deployment options to deliver faster results.
Integrates with your current ecosystem with little or no changes required
Configuration-first solution requiring no redeploys and minimal coding effort
Cloud-native architecture leveraging managed services for efficient usage-based infrastructure costs
Adapts easily to seamlessly handle user request loads, ensuring high availability, resiliency and scalability
Out of the box integration with multiple monitoring tools, giving the user flexibility to cover their alerting and monitoring needs
Deploy Discovery as a fully hosted service or self-managed in your cloud
Discovery’s ingestion and processing framework gathers data from various sources, cleans, normalizes, and enriches it through pipelines and publishes optimized content to your data source of choice.
Connect to diverse data sources and consolidate them into a streamlined, unified processing pipeline.
Read More about Data Extraction
Scalable, configurable content processors for data preparation.
Read More about Data Transformation
Ingestion hydrators deliver enhanced records to your chosen data store or staging repository.
Read More about Data Upload
Integrate LLM capabilities like text embeddings and chat completions into data processing pipelines.
Read More about LLM Integration
Enhance search by adding valuable context to content.
Read More about Metadata Enrichment
Use generative AI to create concise overviews of information, improving search results and user comprehension.
Read More about Content Summaries
Automatically assign relevant labels to content, improving search accuracy and discoverability.
Read More about AI-Based Content Tagging
Identify key themes or subjects within content, helping refine search results and improve content organization.
Read More about Topic Extraction
Automatically pull out essential words or phrases from content to enhance search indexing and retrieval.
Read More about Keyword ExtractionQueryFlow is a powerful API builder that enables developers to create personalized search experiences by leveraging advanced query parsing and routing, NLP and AI services.
Seamless integration with leading search engines.
Read More about Search Engine IntegrationIntegrate LLM features like query embeddings and chat completions.
Read More about LLM Integration
Find content based on meaning and similarity rather than exact keyword matches.
Read More about Vector Search
Automatically adjust filters to show only relevant options based on search results.
Read More about Facet Snapping
Customize search results to user needs with advanced query handling options.
Read More about Result Sorting
Autonomously perform background tasks and make decisions using AI.
Read More about AI Agents
Enable chatbots and assistants to access external data for effective user assistance.
Read More about Chat Memory
Combine keyword matching and vector similarity for more accurate, comprehensive results.
Read More about Hybrid Search
Suggest relevant items based on user behaviour and preferences.
Read More about Recommendations
Use AI to create original, relevant, and human-like responses to queries.
Read More about Generative AnswersDiscovery’s Staging Repository securely stores data between data processing and loading, enabling faster content reprocessing and seamless integration.
Discovery’s cloud native architecture leverages serverless computing, event-driven orchestration and real-time monitoring to simplify management, automate processes and ensure optimal performance without manual intervention.
Allows Discovery to run without managing servers, scaling automatically as needed.
Read More about Serverless architecture
Automates processes by triggering actions based on specific events or conditions.
Read More about Event-driven orchestration
Track and analyze performance, bottlenecks, and data integrity in real-time.
Read More about Monitoring
