Graphlit

Graphlit is an innovative tool that empowers developers to effortlessly build AI-driven applications using unstructured data.

Graphlit is designed specifically for developers working with various industries, including legal, sales, entertainment, healthcare, and engineering. This API-first platform features a serverless, cloud-native setup that simplifies the process of automating complex data workflows, making things much smoother for users.

With Graphlit, developers can easily manage everything from data ingestion and knowledge extraction to handling LLM conversations, semantic searches, alerting, and webhook integrations. One of its standout features is its capability to pull knowledge from a wide range of unstructured data sources. Whether it’s PDFs, web pages, images, RSS feeds, podcasts, Notion pages, YouTube videos, or Slack messages, Graphlit has you covered.

The platform enables developers to create dynamic conversational knowledge graphs using powerful Large Language Models (LLMs) like OpenAI's GPT-3.5 and GPT-4. By leveraging the Retrieval Augmented Generation (RAG) approach and Schema.org's entity data model, it transforms intricate data into easily searchable and contextual knowledge graphs.

In addition to these features, Graphlit offers a multimedia content management system that securely stores files in multiple formats, including documents, audio, and video. It can even manage complex data formats like CAD drawings and geospatial data. Plus, it provides excellent tools for vector-based knowledge retrieval, along with media processing workflows to generate image thumbnails and previews.

Graphlit is ready for production environments and includes detailed usage tracking to help developers keep an eye on their costs. Security is a priority too; it encrypts stored content and includes API access with role-based access control (RBAC) for enhanced protection. On top of all that, Graphlit is developer-centric, offering a free tier for newcomers, with pricing for paid tiers based on the volume of content ingested into the system.