Graphlit
PaidContent ingestion, extraction, search, and RAG platform for AI agents and knowledge workflows.
About Graphlit
Graphlit is a comprehensive content ingestion, extraction, search, and RAG (Retrieval-Augmented Generation) platform designed to power AI applications, agents, and knowledge workflows. It supports ingestion of diverse content types (PDFs, audio, video, web pages, feeds from RSS, Notion, blob storage, Slack, email), text/vector search, chatbot conversations with source-grounded citations, entity extraction, knowledge graphs, and configurable preprocessing/enrichment workflows. The platform provides a usage-based pricing model with a free tier and paid plans (Hobby $49/mo, Starter $199/mo, Growth $999/mo) plus per-credit usage costs for compute-intense operations (transcription, embeddings, graph queries). Note: Graphlit is winding down; new signups are closed, but existing accounts continue to operate during the transition.
Key Features
Pros & Cons
- All-in-one platform: ingestion, extraction, search, RAG, and knowledge graphs without stitching multiple services
- Usage-based pricing with a generous free tier and clear per-credit costs
- Supports a wide variety of content formats and sources (feeds, storage, messaging)
- MCP server access enables integration with popular AI assistants (Claude, Cursor, ChatGPT)
- Configurable workflows allow custom preprocessing and enrichment pipelines
- Graphlit is winding down; new signups are closed, limiting long-term viability for new users
- Pricing can be unpredictable for heavy usage due to variable credit costs
- Requires technical integration (API-based, not a no-code platform)
- Some advanced features (SLA, SOC 2) are only available on the highest Growth plan and not yet fully released
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