ragie
Ragie is a fully managed RAG-as-a-Service (context engine) that ingests, parses, indexes, and retrieves multimodal content to power agents, assistants, and apps via purpose-built APIs and SDKs for developers and enterprises.
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Quick Overview
Best for: Education & Research
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
Best fit
Education & Research
Pricing snapshot
Freemium from Not listed (free tier available for developers to get started)
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ragie
Ragie is a fully managed RAG-as-a-Service designed to provide agent-ready context for assistants, agents, and apps. It ingests multimodal data (text, PDFs, images, audio, video), parses documents (including tables, forms, charts), extracts structured entities, and builds multiple indexes (vector, keyword, summary) so applications can retrieve accurate and relevant context via APIs and SDKs. Ragie targets developers and enterprises who need reliable, production-grade retrieval and context management, offering connectors to common data sources, enterprise deployment options (cloud, VPC, on-prem), and compliance certifications to support regulated workloads.
Ragie is a managed RAG service for developers to build generative AI applications.
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Claim this listing for $29Key Features
Multimodal Ingestion
Handles text, PDFs, images, audio, and video through a unified pipeline so all content types are parsed, chunked, and indexed automatically.
Indexing & Retrieval
Builds vector, keyword, and summary indexes and runs a combined retrieval pipeline (hybrid semantic-keyword search) with reranking to surface the most accurate context.
Agentic OCR / Document Parsing
Agentic OCR extracts structured elements from any document, including tables, forms, charts, and key-value pairs, with precise bounding boxes for traceability.
Entity Extraction
Plain-language-driven extraction: tell Ragie what to extract and it pulls structured entities from documents for precise, contextual data.
Native Connectors
Pre-built connectors and OAuth integrations for sources like Google Drive, Notion, Confluence, Slack, and more to keep context current via automatic sync.
MCP Server & Agentic Retrieval
Context-aware MCP server provides permissioned access and agentic retrieval for multi-step reasoning and intelligent tool use.
Partitions & Multi-Tenancy
Securely isolate data by tenant, workspace, or customer to prevent leakage and improve retrieval relevance at scale.
Enterprise Deployments & Security
Deployment flexibility (cloud, VPC, on-prem) with enterprise-grade compliance (SOC 2 Type II, GDPR, HIPAA, CCPA) and AES-256/TLS encryption.
Developer Tools & SDKs
APIs, SDKs, docs, and a developer-focused DX to accelerate integration and deployment of RAG pipelines.
Pricing
Free tier available for developers to get started building applications.
Free
Not listed (free tier available for developers to get started)- Developer free tier to start building
Starter
Not listed (see pricing page)- Designed for small projects
Pro
Not listed (see pricing page)- Production-grade plan
Enterprise
Not listed (contact sales)- Scale, compliance, and custom deployments
Use Cases
Legal Research & Drafting
High-recall retrieval and precise extraction accelerate legal drafting and research, helping legal teams capture relevant details and reduce risk.
Internal Knowledge Assistants
Power enterprise assistants that surface company-specific knowledge from Google Drive, Notion, Confluence, and other sources for faster decision-making and fewer blockers.
Sales & Customer-facing Tech
Enhance sales workflows with precise retrieval from product data, customer interactions, and reviews to enable personalized customer interactions and faster insights.
Production RAG for Developers
Developers building RAG-enabled applications (chatbots, SaaS features, agentic apps) can offload ingestion, chunking, indexing, and retrieval to Ragie to reduce infrastructure complexity.
Integrations
Google Drive
Sync files and documents via OAuth to keep context current automatically.
Notion
Connect Notion workspaces to ingest notes, docs, and structured content for indexing.
Confluence
Sync Confluence content for enterprise knowledge retrieval.
Slack
Connect Slack to ingest messages and context for assistants and agents.
Benefits
Limitations
Frequently Asked Questions
What is Ragie?
Why should you use Ragie?
Who should use Ragie?
How does Ragie keep my data secure?
How much does Ragie cost?
Getting Started
- 1 Step 1: Start for free or book a demo to create an account.
- 2 Step 2: Connect data sources via pre-built connectors (Google Drive, Notion, Confluence, Slack) or upload files via API.
- 3 Step 3: Ingest — Ragie parses, chunks, and indexes content (text, PDFs, images, audio, video) automatically.
- 4 Step 4: Deploy — Use the retrieval, extraction, or structured data APIs/SDKs to integrate context into your application.
Support
[email protected] for assistance and trust center access.
sales
Contact sales (link on site) for Enterprise inquiries and deployment options.
docs
Documentation, SDKs, and developer resources available via the Ragie website (Docs link).
community
Discord listed as a community channel on the site.
API
API and SDK documentation available via the Ragie website (Docs link).
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