Graphlit: Build AI Applications with Unstructured Data

Graphlit is an API-first platform that empowers developers to build AI-powered applications using their unstructured data. By leveraging cutting-edge natural language processing (NLP) and knowledge graph technology, Graphlit unlocks valuable insights hidden within documents, emails, and other data sources, enabling the creation of innovative solutions for various industries.

How Graphlit Works:

• Integrate the Graphlit API into your application.
• Upload your unstructured data, including documents, emails, and web pages.
• Graphlit's AI analyzes the data, extracts key information, and builds a knowledge graph.
• Use the API to query the knowledge graph, perform semantic searches, and generate insights.
• Develop applications like chatbots, question-answering systems, and knowledge management tools.

Key Features and Functionalities:

• AI-powered knowledge graph construction from unstructured data.
• Semantic search for finding relevant information.
• Question answering capabilities for extracting insights.
• Easy-to-use API for seamless integration.
• Support for various data formats and sources.
• Scalable infrastructure for handling large datasets.

Use Cases and Examples:

Use Cases:

• Building intelligent chatbots for customer support or knowledge retrieval.
• Developing question-answering systems for internal knowledge bases.
• Creating knowledge management tools for organizing and accessing information.
• Powering AI-driven research and analysis platforms.

Examples:

• A legal firm uses Graphlit to build a chatbot that can answer client questions based on legal documents.
• A research team utilizes Graphlit to create a knowledge graph from scientific papers and extract key findings.

User Experience:

While Graphlit focuses on data visualization and exploration, its design and features suggest a user experience that prioritizes:

Intuitive Exploration: Graphlit allows users to interact with and manipulate data visualizations directly, enabling a deeper understanding of complex datasets.

Customizable Visualizations: The platform offers a variety of customization options, empowering users to create visualizations that effectively communicate their data insights.

Collaboration: Graphlit facilitates collaborative data exploration by allowing users to share and work on visualizations together.

Pricing and Plans:

Graphlit offers a usage-based pricing model with a free trial for experimentation. Contact their sales team for detailed pricing information and enterprise plans.

Competitors:

• Amazon Kendra
• Google Cloud AI Knowledge
• IBM Watson Discovery

Unique Selling Points:

• Focus on building AI applications with unstructured data using a knowledge graph approach.
• Easy-to-use API for seamless integration with existing systems.
• Scalable and secure platform for handling large datasets.

Last Words: Unlock the value of your unstructured data with Graphlit. Visit their website today and explore the possibilities of building intelligent AI applications.