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Graphlit: The Ultimate Platform for Rapid AI Application Development and Integration of Unstructured Data

Category: Technology (Writing Tools)

Unlock AI development with Graphlit's powerful platform. Streamline integration of unstructured data with LLMs, featuring automated ETL, data connectors, and SDKs.

About graphlit

Graphlit is a powerful platform designed to streamline the development of AI applications and agents. It offers a comprehensive suite of features that cater to developers looking to integrate unstructured data with large language models (LLMs) quickly and efficiently. With its serverless architecture and extensive support for various AI models, Graphlit stands out as a robust solution for modern AI development.

Key Features and Benefits

1. Graphlit provides a fully integrated solution for Retrieval-Augmented Generation (RAG). This means developers can focus on building applications without worrying about the underlying infrastructure. The platform supports a wide range of LLMs, including those from OpenAI, Anthropic, and Google AI, ensuring flexibility and compatibility.

2. The platform boasts built-in data connectors for popular services like Google Drive, Notion, and Slack. This feature allows users to ingest data from various sources effortlessly, making it easier to work with unstructured data formats such as documents, audio, and video.

3. Graphlit excels in automated ETL (Extract, Transform, Load) processes, enabling high-performance data ingestion. Users can extract text and tables from documents using advanced OCR capabilities, ensuring that data is readily available for analysis and application development.

4. The platform is designed to handle various content types, including text, audio, and images. This multimodal readiness allows developers to create richer applications that leverage different data formats, enhancing user experience and engagement.

5. Graphlit offers native SDKs for popular programming languages like Python, Node.js, and .NET. This accessibility makes it easy for developers to integrate the platform into their existing workflows and applications.

6. With a free tier available, Graphlit allows users to explore its features without any upfront costs. The usage-based pricing model ensures that developers only pay for what they use, making it a cost-effective solution for startups and established businesses alike.

7. Graphlit is particularly well-suited for building chatbots and AI copilots. Its easy-to-use API and comprehensive features enable developers to create conversational agents that can interact with users effectively.

8. The platform automatically builds knowledge graphs from ingested content, maintaining relationships between data sources. This feature enhances data organization and retrieval, making it easier to derive insights from complex datasets.

9. Graphlit includes vector-based semantic search, allowing users to filter and search content based on metadata. This capability is crucial for applications that require quick and accurate information retrieval.

10. Graphlit fosters a supportive community through Discord and offers various resources, including developer documentation and a blog. This ensures that users have access to the information and assistance they need to succeed.

Graphlit is an exceptional platform for developers looking to build AI applications efficiently. Its extensive features, user-friendly design, and flexible pricing make it a top choice for anyone aiming to leverage unstructured data in their projects. Whether you're creating chatbots, knowledge graphs, or multimodal applications, Graphlit provides the tools necessary to accelerate your development process.

List of graphlit features

  • Book a Demo
  • Try for Free
  • Read the Docs
  • Build AI apps and agents faster
  • Batteries-included
  • Serverless RAG-as-a-Service
  • Supports multiple LLMs and embedding models
  • Built-in data connectors
  • Integrate unstructured data with LLMs
  • Try in Colab notebook
  • Chat with your Documents
  • Summarize a Website
  • Extract JSON from PDF
  • Extract Markdown from Documents
  • Scrape Websites
  • Automated ETL for LLMs
  • High-performance data ingestion
  • Data feeds for automated ingestion
  • Extract text and tables with OCR
  • Automatic audio transcription
  • Enrich data with external APIs
  • Easy integration
  • Native SDKs for Python
  • Node.js
  • .NET
  • Serverless
  • cloud-native platform
  • Usage-based pricing
  • Knowledge graph generation
  • Community support on Discord
  • Free Tier access

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