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Graphlit
Paidby Graphlit
AI Engineering Tooling · Developer Tools
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About Graphlit
AI platform for unstructured data
Platform for building AI applications on unstructured data, offering APIs for ingestion, enrichment, and querying.
Prompts for Graphlit
Challenges using Graphlit
Key Capabilities
Unstructured Data Ingestion
- Automated ETL pipeline that ingests any unstructured data format including documents, HTML, Markdown, audio, video, images, emails, and code files. Supports data connectors for Google Drive, Notion, GitHub, Slack, OneDrive, and cloud storage (S3, Azure Blob).
Conversational Knowledge Graph
- Automatically extracts knowledge graph entities and relationships between people, organizations, places and topics found in content. Builds a searchable, conversational knowledge graph using AI that can be queried through natural language.
RAG-as-a-Service Platform
- Serverless Retrieval-Augmented Generation platform that provides managed vector databases, graph databases, and integrations with leading LLMs (OpenAI, Azure OpenAI, Anthropic, Mistral). Eliminates need for Langchain, Pinecone, or S3 setup.
Multimodal Content Processing
- Processes multiple content types with built-in capabilities including audio transcription for podcasts and videos, OCR for images and PDFs, web scraping for websites, and Markdown extraction. Automatically indexes and makes content searchable.
Tool Details
- License
- Paid
- Cost
- Subscription
- Supported Languages
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Works Well With
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