What is Graphlit?

RAG-as-a-Service: Intelligent text extraction and chunking, built-in vector embeddings and conversation history

Semantic Search: Vector-based search, including metadata filtering

Content Creation: Automated text and transcript summarization, social media post generation, long-form content creation

Ingest from any data source such as: Web sites, cloud storage, SharePoint, podcasts, Jira, Notion, YouTube, email or Slack

Ingest any unstructured data format such as: documents, audio, video, or images

Use Cases And Features

1. Offer RAG conversations over your user's unstructured data

2. Extract JSON from documents, audio transcripts and web pages

3. Publish AI-generated audio summaries of Slack messages or emails

Tool Website Engagement

Last Update: 2 years ago

- Disclaimer: Statistics sourced from third-party providers. Accuracy may fluctuate.