Graphlit

Graphlit is a comprehensive Knowledge API platform designed specifically for developers building next-generation AI applications and agents. It serves as a complete backend solution, handling the entire lifecycle of unstructured data—from ingestion and processing to memory and retrieval. By offering a powerful RAG-as-a-Service (Retrieval-Augmented Generation) and GraphRAG system, Graphlit eliminates the need for developers to build and maintain complex data pipelines, allowing them to focus on creating innovative user experiences.

The platform is built on a serverless, cloud-native architecture, ensuring scalability and cost-efficiency. It can ingest data from a vast array of sources, including websites, cloud storage, SharePoint, podcasts, Jira, Notion, YouTube, email, and Slack. It seamlessly processes various data formats like documents (PDF, DOCX), audio, video, and images, automatically extracting text, transcribing audio, and enriching data to make it ready for LLM interaction.

How to use Graphlit

Using Graphlit is a streamlined process for developers:

1. Sign Up & Configure: Start by signing up for a free Graphlit account to obtain your project credentials, including an organization ID, environment ID, and JWT secret.
2. Integrate with SDKs: Integrate the Graphlit API into your application using native SDKs available for Python, Node.js, and .NET. This provides a simple interface to all platform features.
3. Define Ingestion Feeds: Create and configure data feeds to automatically ingest content from your desired sources. For example, you can set up a feed to crawl a website, monitor a SharePoint folder, or pull messages from a Slack channel.
4. Create Workflows: Customize data processing workflows. You can specify connectors like Azure AI Document Intelligence for advanced document layout extraction or Deepgram for high-quality audio transcription.
5. Query and Retrieve: Use the API to perform powerful searches on your knowledge base. You can use semantic (vector) search to find relevant information based on meaning, or filter content precisely using metadata.
6. Build AI Agents: Leverage Graphlit's Agent Tools for Python to easily integrate with agentic frameworks like CrewAI. Alternatively, use the Graphlit MCP (Model Context Protocol) Server to connect with clients like Claude Desktop or Goose, enabling agentic workflows directly within these tools.

Core Features of Graphlit

• Automated ETL for LLMs: Provides automated data feeds for continuous ingestion. It extracts text and tables from documents and images using OCR and LLMs, transcribes audio with Deepgram, and performs automated web scraping.
• RAG-as-a-Service: Features intelligent text extraction and chunking, built-in vector embeddings, and conversation history management. It also supports GraphRAG for LLM-based entity extraction.
• Multimodal Capabilities: Integrated with Large Multimodal Models (LMMs) like OpenAI's GPT-4o and Anthropic's Sonnet 3.5. It can generate image descriptions, perform visual object detection, and enable similarity search via image embeddings.
• Comprehensive Data Source Integration: Connects to a wide range of sources such as websites, cloud storage (Azure Blob, S3), SharePoint, podcasts (RSS), Jira, Notion, YouTube, email (Gmail, Outlook), and communication platforms (Slack, Discord, Teams).
• Developer-First Design: Built by developers, for developers. It offers a serverless, cloud-native platform with no infrastructure to manage, native SDKs, multitenant-ready architecture with RBAC, and at-rest data encryption.
• AI Agent Tools: Provides a suite of tools for Python to integrate with frameworks like CrewAI, enabling agents to perform tasks like web scraping, data ingestion, RAG-based prompting, and content generation.

Use Cases for Graphlit

Graphlit's versatile platform supports a wide range of applications:

• Intelligent Chatbots: Create chatbots that can accurately answer questions based on a private knowledge base of PDFs, Word documents, website content, and more.
• Automated Research Agents: Build AI agents that can perform web research, crawl competitor websites, ingest industry reports, and generate summarized insights.
• Media Analysis: Ingest and transcribe audio from podcasts or videos, then use semantic search to analyze content, find specific quotes, or identify trends discussed.
• Enterprise Search: Deploy a powerful search engine across all company data, including SharePoint, Jira, Slack, and email, allowing employees to find information instantly.
• Structured Data Extraction: Automate the process of scraping web pages (e.g., e-commerce sites) and extracting specific information into a structured JSON format for analysis or database population.

Advantages of Graphlit

Graphlit offers significant advantages for developers:

• Speed and Efficiency: Dramatically accelerates the development of AI applications by providing a ready-made, robust data backend.
• Unified Platform: A single, cohesive API for ingestion, processing, and retrieval, which simplifies the tech stack and reduces integration complexity.
• Scalability and Cost-Control: The serverless architecture scales automatically with demand, and the usage-based pricing model ensures you only pay for the resources you consume.
• Flexibility and Power: Supports a vast ecosystem of data sources, formats, and integrations with leading LLMs and agent frameworks.
• Future-Ready: Built with advanced concepts like GraphRAG and multimodality, enabling the creation of highly sophisticated and capable AI systems.

Pricing and Plans

Graphlit offers a freemium model with plans designed to scale with your needs:

• Free: $0/month. Includes 100 credits, up to 1GB content storage, 1000 content items, 3 feeds, and 100 chatbot conversations. Perfect for getting started.
• Hobby: $49/month + usage ($0.10/credit). Includes everything in Free, with limits increased to 10GB storage, 10K content items, and unlimited feeds/conversations.
• Starter: $199/month + usage ($0.09/credit - 10% off). Includes everything in Hobby, with 100GB storage and unlimited content items, plus priority support.
• Growth: $999/month + usage ($0.08/credit - 20% off). Includes everything in Starter, with unlimited storage and a dedicated technical contact.

Credits are an aggregated unit of compute, storage, and API usage. For example, 1 credit can process approximately 5 PDF pages, 10 minutes of audio, or 10 web pages.