Graphlit

What is Graphlit?

Graphlit is an API-first platform for developers building AI-powered applications with unstructured data. It caters to various industries like legal, sales, entertainment, healthcare, and engineering. The platform provides cloud-native infrastructure, automates complex data workflows, handles data ingestion, knowledge extraction, semantic search, and webhook integrations. It allows developers to build conversational knowledge graphs using technologies like OpenAI's GPT-3.5 and GPT-4, offering multimedia content management, secure storage, and vector-based knowledge retrieval workflows. Its features include extracting knowledge from various unstructured sources, such as PDFs, web pages, images, RSS feeds, podcasts, YouTube videos, and Slack messages. The platform focuses on enabling developers to process content in multiple formats, create conversational knowledge graphs, and manage costs efficiently with usage tracking.

Who created Graphlit?

Graphlit was created by an unknown founder and was launched on June 28, 2023. The platform is designed as an API-first system catering to developers creating AI-powered applications with unstructured data. It offers cloud-native infrastructure, automating data workflows, and handling data ingestion, knowledge extraction, semantic search, and more across various industries such as legal, sales, entertainment, healthcare, and engineering.

What is Graphlit used for?

• Data ingestion from various sources such as web sites, cloud storage, SharePoint, podcasts, Jira, Notion, YouTube, email, and Slack
• Extracting text and tables from documents and images with OCR and LLMs
• Creating automated content workflows and extracting metadata, named entities, and structured data from content
• Web scraping, screenshots, and enriching data with external APIs like Wikipedia and Crunchbase
• RAG Ready features for text extraction, chunking, vector embeddings, and conversation history
• Semantic search with vector-based search and metadata filtering
• Content creation including text and transcript summarization, social media post generation, and long-form content creation
• Integration with Large Multimodal Models (LMMs) like OpenAI GPT-4 Vision
• Automatic audio transcription and generating image descriptions with visual object detection
• Similarity search through image embeddings
• Building AI-powered applications with unstructured data
• Data ingestion from various sources such as PDFs, web pages, images, and more
• Creation of knowledge graphs using Large Language Models (LLMs)
• Multimedia content management with secure storage for different file formats
• Vector-based knowledge retrieval and media processing workflows
• Encrypting content storage and supporting role-based access control (RBAC)
• Automating complex data workflows including knowledge extraction, semantic search, alerting, and webhook integrations
• Developing conversational knowledge graphs using Retrieval Augmented Generation (RAG) pattern
• Transforming complex data into searchable, contextualized knowledge graphs using Schema.org's entity data model
• Production-ready platform with granular usage tracking and API access

Who is Graphlit for?

• Legal
• Sales
• Entertainment
• Healthcare
• Engineering

How to use Graphlit?

To use Graphlit, follow these steps:

1. Sign Up and Choose a Tier:

   • Visit the Graphlit website and sign up for an account.
   • Choose a tier based on your needs: Hobby, Starter, or Growth. Each tier offers different features and pricing plans.

2. Content Ingestion:

   • Ingest data from various sources like websites, cloud storage, SharePoint, podcasts, Jira, Notion, YouTube, email, or Slack.
   • Import unstructured data formats such as documents, audio, video, or images.
   • Set up data feeds for continual ingestion.

3. Data Processing:

   • Extract text and tables from documents and images using OCR and Large Language Models (LLMs).
   • Configure automated content workflows and extract metadata, named entities, and structured data from your content.
   • Utilize web scraping, screenshots, and enrich data with external APIs like Wikipedia and Crunchbase.

4. Knowledge Extraction and Search:

   • Build conversational knowledge graphs using LLMs like GPT-4 for intelligent text extraction and chunking.
   • Leverage Semantic Search for vector-based search and metadata filtering.
   • Generate automated text summaries, social media posts, and long-form content using integrated LMMs.

5. Multimedia Content Management:

   • Store content securely in various formats including documents, audio, video, CAD drawings, and geospatial data.
   • Benefit from vector-based knowledge retrieval and media processing workflows for images.

6. Security and Integration:

   • Ensure data security with encrypted-at-rest storage and API access with role-based access control.
   • Integrate Graphlit easily through its managed API without the need to deploy infrastructure.

7. Usage and Support:

   • Track your usage and manage costs effectively with granular usage tracking.
   • Access community Discord support and other support channels based on your tier.

8. Stay Informed:

   • Subscribe to the newsletter to receive updates and stay informed about new features and developments.

Graphlit is a versatile platform that empowers developers to work with unstructured data efficiently, build conversational knowledge graphs, and leverage AI capabilities for content processing and retrieval.