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

About graphlit

Graphlit is an impressive platform that significantly simplifies the development of AI applications and agents. It offers a robust suite of features tailored for developers eager to integrate unstructured data with large language models (LLMs) swiftly and effectively. Its serverless architecture and broad support for various AI models make Graphlit a standout choice for contemporary AI development.

Key Features and Benefits

1. Integrated RAG Solution: Graphlit delivers a seamless Retrieval-Augmented Generation (RAG) experience, allowing developers to concentrate on application building without the hassle of managing infrastructure. It supports a diverse array of LLMs, including those from OpenAI, Anthropic, and Google AI, ensuring maximum flexibility.

2. Built-in Data Connectors: The platform features data connectors for popular services like Google Drive, Notion, and Slack, enabling effortless data ingestion from multiple sources. This capability simplifies working with unstructured data formats, including documents, audio, and video.

3. Automated ETL Processes: Graphlit excels in automated ETL (Extract, Transform, Load) operations, facilitating high-performance data ingestion. With advanced OCR capabilities, users can extract text and tables from documents, making data readily available for analysis and application development.

4. Multimodal Content Handling: The platform is adept at managing various content types—text, audio, and images. This multimodal capability empowers developers to create richer applications that utilize diverse data formats, enhancing user engagement.

5. Native SDKs: Graphlit provides native SDKs for popular programming languages like Python, Node.js, and .NET, making integration into existing workflows straightforward for developers.

6. Free Tier and Flexible Pricing: With a free tier available, Graphlit allows users to explore its features without upfront costs. The usage-based pricing model ensures developers only pay for what they use, making it an economical choice for both startups and established businesses.

7. Ideal for Chatbots and AI Copilots: The platform is particularly effective for developing chatbots and AI copilots. Its user-friendly API and comprehensive features enable the creation of conversational agents that interact seamlessly with users.

8. Automatic Knowledge Graphs: Graphlit automatically constructs knowledge graphs from ingested content, preserving relationships between data sources. This feature enhances data organization and retrieval, simplifying insights extraction from complex datasets.

9. Vector-Based Semantic Search: The inclusion of vector-based semantic search allows users to filter and search content based on metadata, which is essential for applications requiring quick and precise information retrieval.

10. Supportive Community and Resources: Graphlit nurtures a vibrant community through Discord and offers extensive resources, including developer documentation and a blog, ensuring users have the support they need to thrive.

Graphlit is a powerful platform for developers aiming to build AI applications efficiently. Its extensive features, user-friendly interface, and flexible pricing structure make it an excellent choice for leveraging unstructured data in various projects. Whether you're developing chatbots, knowledge graphs, or multimodal applications, Graphlit equips you with the necessary tools to expedite your development journey.

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