Key Features and Functions include:

Unified Enterprise Search and Knowledge Access
Sinequa connects to hundreds of data sources — both structured and unstructured — via a broad set of connectors, enabling comprehensive indexing and search across an organization’s information ecosystem. Its semantic and multilingual search capabilities improve relevance and contextual understanding for varied user queries.

AI-Powered Relevance and Semantic Understanding
The platform combines traditional indexing with machine learning and hybrid neural search to enhance result accuracy. Integrated NLP and contextual ranking help refine relevance based on user intention and organization-specific context.

Generative AI and RAG Assistants
Sinequa embeds generative AI assistants and retrieval-augmented generation (RAG) copilots that provide traceable, contextual answers and proactive suggestions, helping users synthesize insights, automate tasks, and obtain answers grounded in enterprise data rather than generic models.

No-Code Configuration and Deployment
Administrators and teams can configure search applications, build custom interfaces, or deploy pre-built starter apps through a no-code UI builder. This facilitates faster adoption and reduces reliance on development resources.

Security, Governance, and Compliance Controls
Sinequa incorporates fine-grained access control, full audit traceability, and compliant deployment options (on-premises, private cloud, or hybrid). These features support secure information access for regulated environments.

Automated Content Enrichment and Knowledge Structuring
The platform automatically extracts entities, concepts, and metadata from diverse content formats — including text, images, audio, and video — to enrich datasets and enhance discoverability.

Domain-Tailored Solutions
Pre-configured solutions support industry and practice-area needs — such as legal research acceleration, expert locating, and life sciences data discovery — enabling quicker time-to-value for specialized use cases.