Resolve with Precision: Unlock Data Harmony with our Entity Resolution Solution
Use VectorLink as an entity resolution solution to find, merge, organize, and reconcile your data and content.
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Entity Resolution Works in VectorLink
VectorLink is a vector database and toolset that provides the mechanisms to utilise LLMs with your data.
One such use is entity resolution. Using advanced AI techniques and vector embeddings, VectorLink makes the challenging task of entity resolution simpler.
Traditional search methods struggle to capture the nuances of unstructured and text-based data. By transforming records into natural language text and utilizing OpenAI’s embeddings, VectorLink provides the ability to reconcile records at scale.
Using GraphQL query with Handlebars templates (see the code block) enables VectorLink to generate high-quality embeddings to ensure good semantic results.
{{#if composer}}The piece was composed by {{composer}}. {{/if}}
{{#if opus}}It is opus number {{opus}}. {{/if}}
{{#if composed}}The piece was composed during {{composed}}. {{/if}}
{{#if date}}The piece is dated to {{date}}. {{/if}}
{{#if dedication}}The piece was dedicated to {{dedication}}. {{/if}}
{{#if duration}}The piece is {{duration}} long. {{/if}}
{{#if key}}The piece is in the key of {{key}}. {{/if}}
{{#if movements}}The piece has {{movements}} movements. {{/if}}
{{#if period}}The piece was composed during the {{period}} period. {{/if}}
{{#if text}}The piece is associated with the text {{text}}. {{/if}}
VectorLink Key Features
Using vector embeddings, AI techniques and deep learning to provide entity resolution for content and data. Features include –
Semantic Search
Utilize vector embeddings to perform accurate and efficient semantic searches
Vector Proximity
Your indexed data get stored as vectors with the ability to search vectors in close proximity.
Handlebars and GraphQL Combination
Combine GraphQL and Handlebars templates to generate high-quality vector embeddings.
Straightforward Embedding Definition
Define embeddings effortlessly with our intuitive approach opening it up for non-technical users.
Fast Retrieval
Powered by a Hierarchical Navigable Small World graph to ensure quick retrieval over large datasets with high recall.
Entity Resolution Sectors
Customer Data Integration
Merge and consolidate customer data from multiple sources, improving customer profiles, segmentation, and personalized marketing
Fraud Detection
Identify and link related entities across transactions or accounts, enabling early detection of fraudulent activities in financial transactions
Healthcare Data Management
Reconcile patient records from different healthcare systems, ensuring accurate medical histories, care coordination, and improved patient outcomes
Supply Chain Management
Consolidate and match supplier data, optimizing procurement processes and inventory management in complex supply chains
Legal and Law Enforcement
Identify connections between individuals, organizations, and events by linking data from various sources, aiding in investigations, detecting criminal networks, and supporting evidence-based decision-making
Finance
Enhance financial analysis by resolving entities across diverse data sources, facilitating accurate risk assessment, portfolio management, and compliance monitoring
Leverage AI's Potential
If you need to leverage the potential of your data and content using generative AI to solve difficult problems, our consultancy services can speed up the project. Enquire today to see about working with us.