A cognitive data layer that understands your content at ingest. LLM-assisted semantic indexing makes every document, database, and API queryable by meaning, not just keywords.
Traditional search indexes keywords. Aurix uses an LLM to understand the semantic meaning of your content at the moment it's ingested, creating a rich knowledge graph that enables contextual retrieval.
Documents, database records, and API responses are fed into the Aurix pipeline. Connectors handle format conversion automatically.
An LLM analyzes each chunk, generating semantic embeddings, entity extractions, relationship mappings, and contextual summaries.
Queries are matched against semantic meaning, not just keywords. The RAG pipeline returns the most relevant context for your agents.
Aurix powers the retrieval-augmented generation (RAG) pipeline for Aura Workshop agents. When an agent needs context, Aurix delivers the most relevant documents, code snippets, and data based on semantic similarity.
Aurix ingests data from multiple sources through its connector framework. Each connector handles format-specific parsing and normalization.
PDF, DOCX, XLSX, PPTX, Markdown, plain text, HTML. Automatic format detection and content extraction.
Git repositories, individual files, or entire codebases. Language-aware parsing preserves function and class boundaries.
PostgreSQL, MySQL, SQLite, MongoDB. Schema-aware indexing captures table relationships and data semantics.
Connect to internal APIs and index response data. Scheduled polling keeps the index fresh as data changes.
IMAP email, Slack exports, and communication archives. Thread-aware indexing preserves conversation context.
Watch directories for changes. New and modified files are automatically re-indexed in near real-time.
Aurix is built for organizations that handle sensitive data. Every security decision defaults to the most restrictive option. Your data never leaves your infrastructure.
Aurix Datastore includes enterprise features that support multi-team deployments, compliance requirements, and large-scale data operations.
Isolated data stores per tenant with independent indexes, access controls, and retention policies.
Role-based access control with predefined roles (Admin, Editor, Viewer) and custom role creation.
Distribute data and query load across multiple nodes. Add capacity without downtime.
Only re-index changed content. Efficient delta updates minimize compute cost for large datasets.
Real-time metrics for index size, query latency, ingestion throughput, and storage utilization.
Enterprise customers get dedicated engineering support, custom connector development, and SLA guarantees.
Aurix Datastore is available as part of the Enterprise plan. Contact us for a demo and custom pricing.