Graphlit is a powerful API that simplifies the development of intelligent AI applications and services. With Graphlit, developers can easily ingest and retrieve knowledge using Large Language Models (LLMs). Unlike other platforms like LangChain or LlamaIndex, which require the cumbersome combination of vector databases, parsers, and data pipelines, Graphlit provides a managed platform that allows developers to focus on building their apps rather than dealing with the complexities of AI infrastructure.
By leveraging Graphlit’s API, developers can seamlessly integrate LLM-enabled knowledge ingestion and retrieval capabilities into their applications. This means that developers can harness the power of LLMs from leading providers such as OpenAI, Anthropic, Cohere, Meta, and Mistral to enhance their AI applications with advanced language processing and understanding.
Graphlit’s API offers a wide range of features, including Conversations over Content with Retrieval Augmented Generation (RAG) as a service, semantic search using vector-based search techniques, repurposing content with automated text and transcript summarization, and model-agnostic integration with LLMs. It supports any content format, from PDF documents to Slack messages, MP3 podcasts to MP4 videos, and even Reddit posts and web pages.
To get started with Graphlit and explore its powerful capabilities, you can visit their website at Graphlit. Whether you’re a developer building chatbots, copilots, or vertical AI applications with domain-specific data, Graphlit provides an efficient and user-friendly platform to empower your AI development journey.