Graphlit

Overview of Graphlit

Graphlit is a data visualization tool designed specifically for developers working with unstructured data. It provides a serverless, cloud-native infrastructure that simplifies the process of building AI-powered applications across various industries, including legal, sales, entertainment, healthcare, and engineering.

Core Features

One of the standout features of Graphlit is its ability to extract knowledge from diverse unstructured data sources. This includes processing content from PDFs, web pages, images, RSS feeds, podcasts, Notion pages, YouTube videos, and Slack messages. The platform enables developers to create conversational knowledge graphs utilizing Large Language Models (LLMs) such as OpenAI's GPT-3.5 and GPT-4. Furthermore, it employs the Retrieval Augmented Generation (RAG) pattern alongside Schema.org's entity data model to convert complex data into searchable, contextualized knowledge graphs.

Multimedia Content Management

Graphlit also functions as a multimedia content management platform, allowing secure storage of various content formats, including documents, audio, video files, and complex data types like CAD drawings and geospatial data. This capability is essential for developers needing to manage diverse data types within their applications.

Data Workflows and Security

The platform automates complex data workflows, facilitating tasks such as data ingestion, knowledge extraction, semantic search, alerting, and webhook integrations. It includes robust security features, such as encryption for content storage and role-based access control (RBAC) for API access, ensuring that sensitive data is protected.

Cost and Accessibility

Graphlit is accessible for developers through a free tier, making it easy to get started without upfront costs. Paid tiers are available, with pricing based on the volume of content ingested into the platform, allowing for scalable use as projects grow.