AI Entity Resolution Solutions for Data Harmony

We are experienced in providing entity resolution solutions for data matching, duplicate detection and record linking using the power of LLMs and VectorLink to harmonize text-based and unstructured data.

How VectorLink Uses AI for Entity Resolution

VectorLink is a vector database and toolset that provides the mechanisms to utilise LLMs with your data.

One such use is entity resolution for data matching, duplicate detection and record linking. Using vector embeddings, VectorLink simplifies the challenging task of entity resolution.

Traditional search methods struggle to capture the nuances of unstructured and text-based data. By transforming records into natural language text and utilizing an LLM’s embeddings, VectorLink provides the ability to reconcile records at scale.

We combine GraphQL queries and Handlebars templates to enable VectorLink to generate high-quality embeddings ensuring good semantic results. Results are stored in a vector database with an index based on Hierarchical Navigable Small World graphs – a top-performing index for vector similarity search.

LLMs are good at Entity Resolution

How Entity Resolution Helps Clients

Working with large datasets, often unstructured and text-based, we help clients unravel complicated record linkage problems using our skills and VectorLink. These include:

Data Matching & Record Linkage

Providing a full picture with data can be a challenge. Using VectorLink’s semantic index for proximity search, we can quickly perform data matching and record linkage to provide a better understanding of the subject.

Duplication Detection

If you’ve ever had multiple phone numbers for the same contact in your phone, you know the issues surrounding duplication detection. Scale that to thousands and millions of records and it becomes a big problem. The ability to search vectors in close proximity makes it easier and faster to detect duplicates and take action

Similarity Search

In addition to data matching and duplication detection, similarity search plays a critical role in entity resolution. By leveraging vector embeddings, we can search for records that are not exact matches but are similar in context or content.

Key Features About Our Service

We use vector embeddings, AI techniques, and deep learning to provide data matching for structured and unstructured data, our key features include:

Semantic Search

Utilize vector embeddings to perform accurate and efficient semantic searches

Vector Proximity

Your indexed data gets 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 ensures quick retrieval over large datasets with high recall.

Entity Resolution Sectors

Data matching for 360 customer data

Customer Data Integration

Merge and consolidate customer data from multiple sources, improving customer profiles, segmentation, and personalized marketing

Entity resolution for fraud detection

Fraud Detection

Identify and link related entities across transactions or accounts, enabling early detection of fraudulent activities in financial transactions

Entity resolution for healthcare data management

Healthcare Data Management

Reconcile patient records from different healthcare systems, ensuring accurate medical histories, care coordination, and improved patient outcomes

Record linkage for supply chain management

Supply Chain Management

Consolidate and match supplier data, optimizing procurement processes and inventory management in complex supply chains

Record linkage for legal and law enforcement

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

Entity resolution for the finance industry

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 combining your data with generative AI to solve difficult problems, our AI consultancy services can speed up the project. Enquire today to see about working with us.