Graphlit
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About
Graphlit is a powerful platform for integrating unstructured data with large language models (LLMs) efficiently. It allows users to ingest various types of content, including documents, audio, video, and images, from diverse sources such as websites, cloud storage, and communication platforms like Slack and Jira. Graphlit offers automated ETL (Extract, Transform, Load) for LLMs, enabling rapid data ingestion, text extraction, and the building of knowledge graphs ready for retrieval-augmented generation (RAG) applications. Our serverless and cloud-native infrastructure supports seamless integration with Python, Node.js, and .NET SDKs, providing developers with a versatile environment to create applications using AI algorithms for tasks including semantic search and multimedia processing.
Platform
Task
Features
• multimodal support
• automated etl for llms
• unstructured data ingestion
• data feeds for automated ingestion
• extract text and tables from documents and images
• configure automated content workflows
• build graphrag-ready knowledge graphs
• supports automated web scraping
• enrich data with external apis
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 requires various integrations for LLM applications, while Graphlit is a managed platform that simplifies RAG application development directly.
How is this different than Unstructured.IO?
Unstructured.IO focuses on text extraction from documents but isn't a RAG-ready platform like Graphlit, which supports multimodal data.
Do I need my own vector database, like Pinecone or Qdrant?
Nope! With Graphlit, you get everything you need for RAG applications out of the box, including vector search.
Do you support a JSON mode for text extraction?
Yes! Graphlit stores extracted text in JSON format that can be accessed through our API.
Do you support audio and video transcription?
Yes, we handle a variety of audio and video formats and automatically transcribe them using advanced models.
Can I build a knowledge graph from my data?
Certainly! Graphlit automatically builds a knowledge graph from ingested content and can include entity extraction and enrichment.
Do you offer a free trial?
When you sign up for Graphlit, you start on the Free Tier with full API access and no expiration. Higher limits can be obtained by upgrading to paid tiers.
Pricing Plans
Free
Free Plan• Ingest any content type (i.e. PDFs, MP3s, web pages)
• Create content feeds (i.e. RSS, Web, Notion, blob storage)
• Search content by text or vector similarity
• Filter content by metadata
• Create chatbot conversations over your content
• Configure content workflows
• Includes Deepgram audio transcription
• Includes all vector embeddings and prompt completions
• Supports multi-tenant apps
• Includes 1000 credits
• Includes 1GB content storage
• Includes 1000 content items
• Includes 3 feeds
• Includes 100 chatbot conversations
• Community Discord support
Hobby
USD49.00 / per month + usage• Everything in Free tier
• $0.10/credit usage
• Includes 10GB content storage
• Includes 10K content items
• Includes 10 feeds
• Unlimited chatbot conversations
• Email and community Discord support
Starter
USD199.00 / per month + usage• Everything in Hobby tier
• $0.09/credit usage (10% off)
• Includes 100GB content storage
• Includes 100K content items
• Unlimited feeds
• Unlimited chatbot conversations
• Priority email, private Slack support
Growth
USD999.00 / per month + usage• Everything in Starter tier
• $0.08/credit usage (20% off)
• Unlimited content storage
• Unlimited content items
• Unlimited feeds
• Unlimited chatbot conversations
• Priority email, private Slack support
• Dedicated technical contact
• SLA (coming soon)
• SOC 2 (coming soon)
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