Graphlit

Build and Scale AI Applications with Ease

Graphlit is a comprehensive AI platform designed to accelerate the development of AI applications and agents by offering serverless Retrieval-Augmented Generation (RAG)-as-a-Service. With support for multiple leading LLMs, Graphlit provides built-in data connectors for seamless integration, efficient data ingestion, and real-time capabilities to handle any unstructured data format. Its versatile SDKs and multimodal-ready architecture enable developers to build powerful AI-driven workflows quickly and efficiently, without complex infrastructure management.

Key Features:

Serverless RAG-as-a-Service: Simplifies building and managing RAG applications with no infrastructure overhead.
Wide LLM Support: Integrates with OpenAI, Anthropic, Cohere, Azure AI, and more.
Built-In Data Connectors: Easily ingest data from web, Google Drive, Notion, Slack, email, and more.
Multimodal Capabilities: Handle and integrate diverse data types, including text, audio, images, and video.
Vector-Based Semantic Search: Offers vector embeddings and intelligent text chunking for robust data retrieval.
Automatic ETL for LLMs: Provides high-performance data ingestion, OCR, and automated audio transcription.
Native SDKs: Available for Python, Node.js, and .NET for streamlined development.

Use Cases:

Building AI-Powered Chatbots: Create conversational agents using your data and LLM capabilities.
Automated Content Extraction: Extract and process data from documents, web pages, and multimedia.
Real-Time Semantic Search: Perform fast, accurate searches across large data sets with metadata filtering.
Content Summarization and Creation: Automate text summarization, long-form content generation, and more.
Data Integration and Enrichment: Connect diverse data sources, enrich content with external APIs, and build comprehensive knowledge graphs.

Build and Scale AI Applications with Ease

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