Graphlit

Graphlit presents an API-centric platform tailored for developers constructing AI-driven applications that utilize unstructured data. It serves diverse sectors, including legal, sales, entertainment, healthcare, and engineering fields.

This platform provides a serverless, cloud-based infrastructure, automating intricate data processes. It enables developers to efficiently manage data import, knowledge discovery, LLM interactions, semantic searching, notifications, and webhook integrations.

A primary advantage of Graphlit lies in its capacity to extract knowledge from various unstructured data origins. It can handle different content types, such as PDFs, webpages, images, RSS feeds, podcasts, Notion pages, YouTube content, and Slack communications.

Graphlit empowers developers to create conversational knowledge graphs using Large Language Models (LLMs) like OpenAI's GPT-3.5 and GPT-4. The platform leverages Retrieval Augmented Generation (RAG) and Schema.org's entity data model to transform complex data into searchable, contextual knowledge graphs.

Moreover, Graphlit features a multimedia content management system that facilitates secure content storage in multiple formats, including documents, audio/video files, and complex data like CAD drawings and geospatial information.

It also delivers robust vector-based knowledge retrieval and media processing workflows for generating image thumbnails and previews. The platform is ready for production use, providing detailed usage tracking to help developers monitor and control expenses.

It offers encrypted content storage and supports API access using role-based access control (RBAC) for added security. Graphlit emphasizes developer needs and provides a free entry-level option.

The cost for premium plans depends on the quantity of content uploaded to the platform.