What is Graphlit?

Graphlit is an innovative, serverless platform designed for building AI applications and agents rapidly. It provides a comprehensive suite of tools that facilitate the development of Generative AI applications, enabling developers to easily integrate various data sources and formats. With its focus on unstructured data processing, Graphlit allows users to create intelligent applications that can ingest, analyze, and generate content from a wide array of sources.

The platform is built on a robust architecture that supports various Large Language Models (LLMs) and embedding models, making it a versatile solution for developers looking to leverage AI technology in their projects. Graphlit's unique approach combines automated data ingestion, text extraction, and conversation history management, making it an all-in-one solution for AI app development.

Features

Graphlit boasts an extensive range of features that cater to the needs of developers and businesses looking to harness the power of AI. Here are some of the key features:

1. Data Ingestion

• Multiple Data Sources: Ingest data from various sources, including websites, cloud storage (Google Drive, Dropbox), project management tools (Jira, Notion), communication platforms (Slack, email), and more.
• Support for Unstructured Data: Handle various unstructured data formats such as documents, HTML, audio, video, and images.

2. Automated ETL for LLMs

• High-Performance Data Preparation: Automatically extract text and tables from documents and images using Optical Character Recognition (OCR) and LLMs.
• Audio Transcription: Leverage Deepgram's technology for real-time audio transcription.

3. RAG-as-a-Service

• Intelligent Text Extraction: Utilize built-in vector embeddings and conversation history for efficient data retrieval and interaction.
• Semantic Search: Implement vector-based search capabilities, allowing users to filter content based on metadata.

4. Content Creation

• Automated Summarization: Generate summaries for various content types, including documents and transcripts.
• Social Media Post Generation: Create engaging content for social media platforms automatically.

5. Multimodal Capabilities

• Integrated with LLMs: Support for various LLMs, including OpenAI, Anthropic, Cohere, and Google AI, allowing for a diverse range of applications.
• Image Descriptions and Similarity Search: Generate descriptions for images and perform similarity searches using image embeddings.

6. Developer-Friendly

• Native SDKs: Available SDKs for Python, Node.js, and .NET for easy integration into existing applications.
• Serverless Architecture: No infrastructure deployment required, allowing developers to focus on building applications without DevOps overhead.

7. Security and Compliance

• Data Encryption: All data is encrypted at rest, ensuring user data security.
• Usage-Based Pricing: Flexible pricing model based on content ingestion and API usage.

Use Cases

Graphlit is designed to cater to a wide range of applications across various industries. Here are some notable use cases:

1. Chatbots and Virtual Assistants

Developers can use Graphlit to create advanced chatbots and virtual assistants that can converse with users, provide information, and assist with various tasks. The platform's ability to handle multiple content formats and integrate with various LLMs makes it an ideal choice for building conversational agents.

2. Document Management Systems

Graphlit can be utilized to build document management systems that automatically ingest, process, and organize documents. The platform's automated text extraction and summarization capabilities allow organizations to manage large volumes of documents efficiently.

3. Knowledge Management and Discovery

Organizations can leverage Graphlit to create knowledge management systems that help employees discover and access relevant information quickly. By building a knowledge graph from ingested content, users can easily navigate and retrieve information based on relationships and entities.

4. Content Creation and Marketing

Marketers can use Graphlit to automate content creation processes, such as generating blog posts, social media updates, and marketing materials. The platform's content summarization and generation features streamline the content creation workflow.

5. Data Analysis and Reporting

Graphlit can be employed to analyze large datasets and generate reports based on the extracted information. The platform's ability to handle various data formats and perform semantic searches allows for in-depth data analysis.

Pricing

Graphlit offers a flexible pricing structure designed to accommodate various user needs, from casual users to large enterprises. The pricing tiers are as follows:

1. Free Tier

• Cost: Free
• Features:
  • Ingest any content type (PDFs, MP3s, web pages)
  • Create content feeds (RSS, Web, Notion)
  • Search content by text or vector similarity
  • Filter content by metadata
  • Create chatbot conversations over your content
  • 100 credits for usage
  • Up to 1GB content storage
  • Up to 1000 content items
  • Up to 3 feeds
  • Up to 100 chatbot conversations

2. Hobby Tier

• Cost: $49/month + usage
• Features:
  • Everything in Free Tier
  • $0.10/credit usage
  • Up to 10GB content storage
  • Up to 10K content items
  • Unlimited feeds and chatbot conversations

3. Starter Tier

• Cost: $199/month + usage
• Features:
  • Everything in Hobby Tier
  • $0.09/credit usage (10% off)
  • Up to 100GB content storage
  • Unlimited content items, feeds, and chatbot conversations
  • Priority email and private Slack support

4. Growth Tier

• Cost: $999/month + usage
• Features:
  • Everything in Starter Tier
  • $0.08/credit usage (20% off)
  • Unlimited content storage, items, feeds, and chatbot conversations
  • Priority email and private Slack support
  • Dedicated technical contact and SLA (coming soon)

Comparison with Other Tools

Graphlit stands out in the crowded landscape of AI development tools due to its unique features and capabilities. Here's how it compares with some popular alternatives:

Graphlit vs. LangChain

• Integration: LangChain requires developers to assemble multiple components (LLMs, vector databases, cloud infrastructure) to build applications. Graphlit offers a managed platform with everything integrated, allowing for immediate application development without the need for extensive setup.
• Ease of Use: Graphlit simplifies the process of building RAG applications by providing a user-friendly API and automated workflows, while LangChain may require more technical expertise to implement effectively.

Graphlit vs. Unstructured.IO

• Functionality: Unstructured.IO focuses primarily on text extraction and document partitioning. In contrast, Graphlit provides a comprehensive RAG-ready platform that connects data directly to LLMs and supports multimodal data formats.
• Data Handling: Graphlit supports a wider range of content types and offers built-in audio transcription, making it more versatile for developers looking to build applications that require diverse data processing capabilities.

FAQ

Can I use Graphlit to build a chatbot or copilot?

Absolutely! Graphlit provides everything you need to build a RAG application, such as a chatbot or copilot, with its easy-to-use API. The platform supports a wide range of content formats and offers vector-based semantic search.

Can I extract text from PDFs or Word documents?

Yes, Graphlit can ingest various document types, including PDFs and Word documents, and extract structured text. The platform also supports high-quality OCR text extraction using Azure AI Document Intelligence.

Do I need my own vector database?

No, Graphlit comes with integrated vector search and embeddings, allowing you to create RAG applications without the need for an external vector database.

Does Graphlit support audio and video transcription?

Yes, Graphlit can handle various audio and video formats, automatically transcribing audio using Deepgram's speech-to-text technology.

Is there a free trial available?

When you sign up for Graphlit, you are placed on the Free Tier, which provides full access to all features without an expiration date. You can upgrade to a paid tier for higher quota limits and additional features.

In conclusion, Graphlit is a powerful and versatile platform that simplifies the development of AI applications by providing a comprehensive set of tools for data ingestion, processing, and interaction. Its unique features, flexible pricing, and ease of use make it an attractive option for developers and businesses alike.