Squirro Invests in meetsynthia.ai to Shape Development of AI Guardrails | Learn More!
Squirro proudly announces its acquisition of Synaptica, a renowned US-based SaaS provider of enterprise taxonomy management and knowledge graph systems.
This strategic acquisition integrates Synaptica’s robust semantic graph technology with Squirro’s cutting-edge generative AI capabilities, creating a powerful platform for knowledge discovery, conversational search, and business process automation.
"RAG alone does not ensure the completeness and accuracy of information for mission-critical enterprise applications. Squirro quickly identified that this gap can be bridged by combining generative AI with enterprise knowledge graphs and semantic technology."
Knowledge graphs are sophisticated data structures that are particularly useful in applications like: search engines, recommendation systems, and various AI-driven solutions.
They can be applied in multiple use cases, for example:
In financial services to enrich enterprise search, capturing an organization's proprietary terminology, products, policies, and regulation. Users can search using natural language queries and retrieve contextual information beyond documents.
In government administrations, integrated data from multiple agencies can power a search engine that understands government acronyms, programs, policies, and inter-agency relationships improving search accuracy for public and internal inquiries.
Ground your Generative AI processes in transparent, human-editable knowledge models. By integrating knowledge graphs in RAG technologies, you can leverage a powerful combination that enhances data retrieval, contextual understanding, and the generation of insightful, accurate content, supporting more precision and transparency.
Utilize process-oriented taxonomies and ontologies to guide Retrieval-Augmented Generative decision-making, ensuring appropriate refinement questions and recommended next steps.
Use single-source-of-truth enterprise taxonomies to provide consistent quality metadata across multiple content repositories.
Continuously enrich an enterprise knowledge graph that infers new knowledge from the semantic associations and similarities of entities.
Discover how integrating knowledge graphs with our advanced Retrieval Augmented Generation (RAG) technology can revolutionize your enterprise.
Examine the application and benefits of Knowledge Graphs (KGs) within the business industry. Download our comprehensive whitepaper to learn more!
"Our customers span various industries, but they all share a commitment to high-quality information retrieval. They use semantic technology to build knowledge organization systems, standardize and enrich metadata, and optimize precision and recall."
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