Graphlit - Batteries-included, Serverless RAG-as-a-Service Platform

Graphlit Batteries-included, Serverless RAG-as-a-Service Platform

Usage Based

From 49$

Home: https://www.graphlit.com

#RAG
#Serverless
#ETL
#multimodal
#Data Ingestion
#Semantic Search

Visit Graphlit

What is Graphlit?

Graphlit is a serverless platform designed to streamline the building of AI applications and agents. It provides a comprehensive, Retrieval-Augmented Generation (RAG)-as-a-Service solution, eliminating the need for developers to manage complex infrastructure.

The platform features automated ETL for LLMs, high-performance data preparation, and supports a wide range of data sources and formats. Key capabilities include data connectors, text chunking and embedding, vector search, LLM integrations, and conversation history. Graphlit is built for developers, offering seamless integration with various Large Language Models and embedding models, including OpenAI, Anthropic, and Google AI.

Features

Data Connectors: Built-in connectors for web crawling, Google Drive, Notion, Dropbox, Intercom, SharePoint, GitHub, Slack, Jira, email, RSS and many more.
Automated ETL: High-performance data preparation, including data feeds, text and table extraction, audio transcription, and web scraping.
Multimodal Support: Integrated with Large Multimodal Models (LMMs), including OpenAI GPT-4o and Anthropic Sonnet 3.5, enabling image description generation and similarity search via image embeddings.
RAG and GraphRAG Ready: Intelligent text extraction and chunking, built-in vector embeddings and conversation history, LLM-based entity extraction.
Semantic Search: Vector-based search, including metadata filtering.
Easy Integration: Native SDKs for Python, Node.js, .NET, serverless cloud-native platform, and usage-based pricing.

Use Cases

Building chatbots and copilots
Developing vertical AI applications with domain-specific data
Creating content, including automated text and transcript summarization, social media posts, and long-form content
Performing semantic search on unstructured data
Building knowledge graphs

FAQs

Can I use this to build a chatbot or copilot?

Definitely! Graphlit provides everything you need to build a RAG application, such as a chatbot or copilot, with our easy-to-use API.
Can I extract text from PDFs or Word documents?

Yes! You can ingest any type of document, including PDF, Word document, Powerpoint presentation, Markdown, etc. and Graphlit will extract structured text.
How is this different than LangChain?

LangChain is a leading frameworks for building LLM applications, but it is not a managed platform. WIth Graphlit, you can start building your RAG application immediately - no assembly required.
How is this different than Unstructured.IO?

Unstructured.IO is focused on the extraction of text from PDFs and other documents, and the partitioning of those documents. By using Graphlit, you can start building multimodal RAG applications immediately - no assembly required.
Do you support audio and video transcription?

For sure, we handle a variety of audio and video formats, such as MP4, MP3, WAV and AAC/M4A. Any audio or video file ingested into Graphlit will have audio automatically transcribed using the latest Deepgram speech-to-text model.