The context engine for agents, assistants and apps.
Ragie combines document parsing, entity extraction, and intelligent retrieval to power your AI with accurate, reliable context.
Trusted by teams building context-powered AI, from startups to large enterprises.
Give your AI the context it needs to work.
Purpose-built APIs for every context need.
Parse
Ragie's Agentic OCR extracts structured elements from any document, including tables, forms, charts, and key-value pairs, with precise bounding boxes for full traceability.
Entity Extraction
Tell Ragie what to extract in plain language and it automatically pulls structured entities from every document. Precise extraction for when context alone isn't enough.
Index and Retrieval
Ragie builds vector, keyword, and summary indexes from your content and handles the full retrieval pipeline, so your agents and assistants always get the right context, fast and at any scale.
Raw data in.
Agent-ready context out.
Connect
Upload files via API or sync directly from Google Drive, Notion, Slack, and many more using Ragie's pre-built connectors. Your context stays current automatically.
Ingest
Ragie parses, chunks, and indexes your content across text, PDFs, images, audio, and video. No pipeline to build or maintain.
Deploy
Get structured data, extracted entities, or retrieved context via API. Pick what your application needs and ship.
Everything you need to build context-powered AI.
Purpose-built APIs for every context need.
Multimodal
Text, PDFs, images, audio, video. Ragie handles any format through one unified pipeline, so your agents always get clean, accurate context regardless of the source.
Native Connectors
Sync from Google Drive, Notion, Confluence, Slack, and many more, automatically. Or embed connectors in your app so your customers can connect their own data.
Hybrid Search
Ragie builds three separate indexes, vector, keyword, and summary, and combines them to surface the most accurate context every time.
MCP Server
Ragie's context-aware MCP server gives your agents permissioned access to your knowledge base through the AI tools your team already uses.
Partitions
Securely isolate data by tenant, workspace, or customer to prevent leakage and improve retrieval relevance at scale.
And much more
Reranking, webhooks, recency bias, deep search, and everything else you need to deliver accurate context at scale.
AI teams run on context. Ragie delivers it.
Trusted across industries where context accuracy matters.

“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.”

Founder & CEO, Ellis

“Ragie helped us deliver in 3 weeks instead of 3 months showcasing its ability to significantly accelerate development timelines.”

Co-founder and CEO, Glue

"Ragie's embedding process is simply superior to others we've tried. Our AI agents improved almost immediately after the switch - an improvement that our clients noticed as well."

Co-Founder & Chief AI Officer, Vambe
Built for production.
Ready for Enterprise.
Ragie meets the security and reliability requirements that production AI demands.
SOC 2 Type II, GDPR, HIPAA, CCPA
Enterprise-grade security certified for sensitive and regulated data.
99.9%+ Uptime
Battle-tested infrastructure you can trust in production and at scale.
Flexible Deployment
Deploy in the cloud, in your own VPC, or on-prem. Ragie fits your infrastructure requirements, not the other way around.
Multi-Tenant Architecture
Isolate data by tenant, workspace, or customer to prevent leakage and improve retrieval relevance at scale.