AI Powered Data Extraction for .NET Applications

Transform Unstructured Data into Valuable Insights with LM-Kit’s Data Processing Engines

Elevate .NET Apps with On-Device AI Data Processing

LM-Kit.NET brings state-of-the-art AI-driven data processing directly to your .NET applications. Uncover hidden structures in unstructured text data and enhance your applications with powerful Intelligent Data Extraction and Retrieval-Augmented Generation (RAG) capabilities. By leveraging compact Large Language Models (LLMs) that run entirely on-device, LM-Kit ensures fast, secure, and private processing without the need for cloud services.

AI Powered Data Extraction

Extract Structured Data from Unstructured Text with Precision

LM-Kit’s Data Extraction engine allows you to transform raw text into structured, actionable data. Define custom extraction elements to parse and extract specific information from large volumes of text efficiently. Whether you’re processing documents, extracting key information from emails, or parsing logs, LM-Kit’s Data Extraction tool simplifies the process, enabling seamless integration into your .NET applications.

Key Features

Custom Extraction Elements

Define elements with metadata such as name, type, and description using the TextExtractionElement class, including nested elements for complex data structures.

Flexible Formatting

Control text formatting options with TextExtractionElementFormat, including case conversion, spacing character handling, and length constraints.

Accurate Results

Access detailed extraction results with TextExtractionResult, including extracted elements and their JSON representation for easy integration.

Synchronous and Asynchronous Processing

Choose between Parse() and ParseAsync() methods to suit your application's performance needs.

Advanced AI and Flexible Data Handling

Powered by state-of-the-art AI models and LM-Kit’s proprietary Dynamic Sampling technology, the TextExtraction engine delivers exceptional performance in parsing unstructured text. It supports a wide array of data types—including simple types like strings and integers, as well as complex nested structures and arrays—enabling you to handle diverse extraction tasks with ease. Whether processing invoices, job offers, medical records, or legal documents, LM-Kit’s flexible data handling ensures high accuracy and speed, all while running entirely on-device for enhanced security and privacy.

Benefits

Automate Data Processing

Eliminate manual data entry and reduce errors by automating the extraction of structured data from unstructured text.

Customizable Extraction

Tailor extraction processes to your specific needs, handling complex data structures with ease.

Improve Efficiency

Accelerate data processing tasks, allowing your team to focus on higher-value activities.

Enhance Data Quality

Ensure consistency and accuracy in data extraction, improving the reliability of your data-driven decisions.

Seamless Integration

Easily integrate the Data Extraction engine into existing workflows and applications, reducing development time.

Explore Usage Examples

				
					// Initialize the language model (LLM)
LLM languageModel = new LLM("https://huggingface.co/lm-kit/phi-3.5-mini-3.8b-instruct-gguf/resolve/main/Phi-3.5-mini-Instruct-Q4_K_M.gguf?download=true");

// Create an instance of TextExtraction using the LLM
TextExtraction textExtraction = new TextExtraction(languageModel);

// Define the elements to extract
textExtraction.Elements = new List<TextExtractionElement>
{
    new TextExtractionElement("Name", ElementType.String, "The person's full name"),
    new TextExtractionElement("Age", ElementType.Integer, "The person's age"),
    new TextExtractionElement("Birth Date", ElementType.Date, "The person's date of birth.")
};

// Set the content to extract data from
textExtraction.SetContent("Jane Smith, aged 28, born on 5 Nov of the year 1981");

// Perform the extraction synchronously
TextExtractionResult result = textExtraction.Parse();

// Access the extracted items
foreach (var item in result.Items)
{
    Console.WriteLine($"{item.TextExtractionElement.Name}: {item.Value}");
}
				
			

The Structured Data Extraction Demo illustrates how the LM-Kit.NET SDK extracts structured data from diverse sources like invoices, contracts, and medical records. Customizable for unlimited use cases, it provides extracted values in JSON format or via a simple high-level API. The demo showcases the TextExtraction class’s API, simplifying data extraction and structuring, and highlights LM-Kit’s Dynamic Sampling technology for fast, accurate results even with smaller models.

Retrieval-Augmented Generation (RAG)

Enhance Information Retrieval with Contextual Understanding

LM-Kit’s Retrieval-Augmented Generation engine empowers your applications with intelligent information retrieval capabilities. The RagEngine class provides core functionalities required for RAG, allowing you to import data sources, find matching text partitions based on similarity, and generate contextually relevant responses. With efficient text chunking strategies and on-device embedding generation, LM-Kit’s RAG engine ensures fast and accurate retrieval.

Key Features

Data Source Management

Utilize the DataSource class to handle various content repositories, including documents and web pages.

Text Chunking Strategies

Implement recursive chunking with the TextChunking class to partition large texts into manageable segments, optimizing retrieval tasks.

Similarity Search

Find matching partitions using embedding-based similarity measures to retrieve the most relevant information.

Seamless Integration with Conversations

Enhance chatbot and conversational AI applications by providing contextually relevant information during interactions.

Streamlining Custom RAG Pipelines

Simplify the development of custom Retrieval-Augmented Generation systems by leveraging a fully featured framework that permits the integration of any state-of-the-art embedding model. LM-Kit provides extensive high-level functionalities to engineer a tailored RAG system, enhancing retrieval systems and seamlessly connecting them with chatbot agents. The flexible architecture enables the creation of custom chunking strategies, efficient metadata management, embedding model orchestration, comprehensive query systems, and supports extensive customization at every stage of the RAG pipeline, allowing for further innovation and adaptation to meet diverse and complex application needs.

Benefits

Improved Search Capabilities

Deliver more accurate and relevant search results by understanding the context and semantics of user queries.

Knowledge Base Enhancement

Provide users with detailed and precise answers by retrieving information from vast datasets.

Personalized User Experiences

Tailor responses based on user context and preferences, increasing engagement and satisfaction.

Scalable Solutions

Efficiently handle large volumes of data and user interactions without compromising performance.

On-Device Processing

Maintain data privacy and security by processing retrieval tasks entirely on-device.

Explore Demo and Examples

The Building a Custom Chatbot with RAG Demo illustrates how to use the LM-Kit.NET SDK to create a chatbot integrating Retrieval-Augmented Generation techniques. It demonstrates incorporating large language models into a .NET application, enabling the chatbot to retrieve relevant information from loaded data sources and generate coherent responses based on that information.

RAG Demo
RAG Demo

Why Choose LM-Kit for Your Data Processing Needs?

LM-Kit provides a robust and flexible toolkit to seamlessly integrate cutting-edge data processing capabilities into your .NET applications.

Our innovative solutions deliver faster, more accurate results—even with lightweight models running on CPU—ensuring optimal performance without heavy resource demands. Leverage advanced AI to gain deeper insights from your data, customize solutions to your specific needs, and maintain full control over your information with on-device processing.

High Accuracy & Precision

Built on advanced language models, LM-Kit offers precise data extraction and retrieval capabilities, benchmarked against large datasets to ensure both accuracy and nuance.

Customizable & Flexible

Adapt pre-built models or design custom ones to match specific business needs. Built-in customization capabilities provide flexibility, enabling precise adjustments to existing models or the creation of new ones tailored to unique requirements.

On-Device Processing

Keep your data secure with LM-Kit’s on-device inference, avoiding cloud-related privacy concerns. Experience rapid response times, optimized for both CPU and GPU environments.

Multilingual

Process text data in multiple languages effortlessly—no configuration needed, capturing accurate insights instantly.

Gen. AI-Powered Data Processing in Action

Organizations across industries are leveraging LM-Kit’s Data Processing capabilities to enhance efficiency, improve decision-making, and uncover valuable insights from unstructured text data. From automating data extraction in document processing to enriching user interactions with Retrieval-Augmented Generation, the possibilities are vast.

Get Started Today

Integrate advanced Data Processing into your .NET applications. Explore the free trial—no registration required—and discover the power of LM-Kit firsthand. Download the SDK via  NuGet and start transforming your application with cutting-edge AI technology.

Contact Us

For questions or guidance, speak with our experts to see how LM-Kit can revolutionize your Text Analysis strategy.

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