Graphlit Introduction
Graphlit is a powerful tool designed to bring knowledge to your AI applications by integrating your data with Large Language Models (LLMs) in minutes, not weeks. It offers a seamless way to ingest unstructured data from various sources and formats, making it an essential component for developers building chatbots, copilots, or vertical AI applications with domain-specific data.
Graphlit Features
Automated ETL for LLMs
Graphlit simplifies the process of extracting, transforming, and loading (ETL) data for LLMs. It can ingest data from any source, such as websites, cloud storage, SharePoint, podcasts, Jira, Notion, YouTube, email, or Slack. The platform supports unstructured data formats like documents, audio, video, or images.
Data Feeds and Workflows
Graphlit allows you to create data feeds for continual ingestion and configure automated content workflows. It can extract text and tables from documents and images with OCR and LLMs, as well as metadata, named entities, and structured data from your content.
RAG-AS-A-Service
Graphlit offers Ready-to-Use AI (RAG) services, including intelligent text extraction and chunking, built-in vector embeddings, and conversation history. It also provides semantic search capabilities and automated text and transcript summarization for content creation.
Multimodal Ready
Integrated with Large Multimodal Models (LMMs) including OpenAI GPT-4 Vision, Graphlit supports automatic audio transcription, image description generation with visual object detection, and similarity search via image embeddings.
Developer-Friendly Platform
Graphlit is built for developers by developers. It offers a zero-deployment, managed API for easy integration, and is a serverless, cloud-native platform. It ensures data encryption at rest and provides usage-based pricing.
Graphlit Pricing
Graphlit offers a free tier that allows you to get started without any credit card requirements. The paid tiers are based on the content you ingest and the usage of features like audio transcription, AI model usage, or PDF OCR text extraction.
- Free: $0 per month, includes 1000 credits, 1GB content storage, and more.
- Hobby: $49 per month + usage, includes 10GB content storage, 10K content items, and more.
- Starter: $199 per month + usage, includes 100GB content storage, 100K content items, and more.
- Growth: $999 per month + usage, includes unlimited content storage, content items, and more.
Graphlit FAQs
What can I ingest with Graphlit?
You can ingest data from any source such as web sites, cloud storage, SharePoint, podcasts, Jira, Notion, YouTube, email, or Slack. Graphlit supports unstructured data formats like documents, audio, video, or images.
How does Graphlit help in content creation?
Graphlit offers automated text and transcript summarization, social media post generation, and long-form content creation. It also provides vector-based search and metadata filtering for semantic search capabilities.
What support does Graphlit offer?
Graphlit provides community Discord support for the Free and Hobby tiers. The Starter and Growth tiers include email and private Slack support, with a dedicated technical contact available for the Growth tier.
How do I get started with Graphlit?
You can get started with Graphlit for free without a credit card. Simply sign up on their platform and begin ingesting your content. If you have questions or need assistance, you can reach out to [email protected] or join their Discord community for a chat.
Graphlit Use Cases
Accelerating AI App Development
Graphlit can significantly accelerate the development of Generative AI applications by providing quick and easy integration of data with LLMs. This allows developers to focus on building domain-specific applications without worrying about the complexities of data integration.
Enhancing Chatbot Conversations
By ingesting and processing unstructured data, Graphlit enables chatbots to have more meaningful and contextually relevant conversations. It can turn your content into a conversational asset, enhancing user engagement and satisfaction.
Improving Content Discovery
Graphlit's semantic search capabilities allow users to search content by text or vector similarity, making it easier to discover relevant information within large datasets. This feature is particularly useful for organizations dealing with vast amounts of unstructured data.
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