Graphlit is an API-first platform made for developers working with unstructured data to create AI-powered apps. It serves a number of vertical markets, such as engineering, sales, entertainment, legal, and healthcare.
The technology streamlines complex data workflows and provides a serverless, cloud-native environment. Developers can effortlessly manage webhook integrations, alerts, semantic search, LLM discussions, data ingestion, and knowledge extraction with its help.
The capacity of Graphlit to extract knowledge from any unstructured data source is one of its primary features. It can handle a wide range of content formats, including podcasts, Notion pages, YouTube videos, PDFs, web pages, pictures, and Slack chats.
Graphlit enables developers to use Large Language Models (LLMs) such as OpenAI’s GPT-3.5 and GPT-4 to create conversational knowledge graphs. The platform takes advantage of the entity data model provided by Schema.org and the Retrieval Augmented Generation (RAG) pattern to turn complex data into searchable and contextualized knowledge graphs.
Furthermore, Graphlit offers a platform for managing multimedia material that facilitates the safe retention of information in a range of forms, such as papers, audio and video files, and intricate data formats like geographical data and CAD drawings.
Moreover, it provides strong vector-based workflows for media processing and knowledge retrieval for image thumbnails and previews. The granular usage tracking feature of the production-ready platform aids developers in comprehending and controlling their expenses.
For improved security, it allows role-based access control (RBAC) with API access and encrypts content storage. Graphlit caters to developers and provides an initial free tier.
The amount of content that is absorbed into the platform determines the pricing for paid tiers.
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