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Glean vs Ragie

Side-by-side comparison of features, pricing, ratings, and alternatives.

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Glean
GleanEnterprise AI platform that connects company knowledge for search, answers, and agents.
Ragie
RagieGive your AI the context it needs to work.
Overview
Description

Glean is an enterprise AI platform that connects an organization's knowledge across more than 35 applications, including Slack, Google Drive, Jira, Confluence, SharePoint, GitHub, and Salesforce, to power permission-aware search and answers. Beyond search, Glean lets teams build custom AI agents without code on top of that connected knowledge layer, positioning itself as a horizontal workplace productivity platform rather than a single point tool.

Ragie is a context engine that provides purpose-built APIs for indexing, retrieval, parsing, and entity extraction to give AI agents, assistants, and apps the right context. It supports multimodal data (text, PDFs, images, audio, video), native connectors (Google Drive, Notion, Confluence, Slack), hybrid search, MCP server, partitions, and enterprise-grade security (SOC 2, GDPR, HIPAA). It is used for legal research, productivity assistants, and sales tech.

Pricing
Contact for Pricing
Paid (Subscription)

Details below.

Category
AI Productivity
API Tools
Best for
Large enterprises seeking unified internal search and AI agents
AI developers, product teams, enterprises building AI agents, assistants, and applications that require accurate context from diverse data sources.
Specifications
deployment
Cloud/SaaS
—
support options
Demo-based onboarding
—
key integrations
Slack, Google Drive, Jira, Confluence, SharePoint, GitHub, Salesforce
—
API
—
RESTful APIs for indexing, retrieval, parsing, entity extraction
MCP
—
Context-aware MCP server
Search
—
Hybrid (vector, keyword, summary)
Uptime
—
99.9%+
Formats
—
Text, PDFs, images, audio, video
Security
—
SOC 2 Type II, GDPR, HIPAA, CCPA
Connectors
—
Google Drive, Notion, Confluence, Slack, and more
Deployment
—
Cloud, VPC, on-prem
Pros & Cons
Pros
  • Connects a very wide range of enterprise apps rather than a narrow set
  • Permission-aware search reduces the risk of surfacing content a user shouldn't see
  • No-code agent builder extends beyond search into workflow automation
  • Strong compliance certifications suitable for regulated enterprises
  • Handles full retrieval pipeline (vector, keyword, summary indexes)
  • Agentic OCR extracts structured elements from any document with bounding boxes
  • Plain language entity extraction
  • Multimodal support including video
Cons
  • No public pricing; requires a sales demo to get a quote
  • Built for large organizations with many connected systems, likely overkill for small teams
  • Value depends heavily on how much of the org's knowledge actually lives in supported integrations
  • Pricing not publicly available
  • May be overkill for simple RAG use cases
  • Dependency on third-party service for core RAG infrastructure
Community & Metrics
Upvotes
0
0
User rating
Not enough data
Not enough data

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The Verdict

AI-generated from listing data

Ragie offers a full‑stack, highly configurable RAG engine with multimodal support and on‑prem options, while Glean focuses on enterprise‑wide searchable knowledge and no‑code AI agents across many SaaS apps.

Key differences

  • •Ragie provides a complete retrieval pipeline (vector, keyword, summary) plus agentic OCR and multimodal indexing; Glean centers on unified search across 35+ workplace apps and a no‑code agent builder.
  • •Ragie can be deployed cloud, VPC, or on‑prem with SOC 2, GDPR, HIPAA compliance; Glean is SaaS‑only.
  • •Ragie’s pricing is subscription‑based but not publicly disclosed; Glean requires a sales demo and also lacks public pricing.
  • •Ragie targets AI developers building custom agents and retrieval pipelines; Glean targets large enterprises needing permission‑aware internal search and workflow automation.
DimensionWinner

Pricing & value

Both lack public pricing; value depends on subscription terms versus enterprise SaaS licensing.

Tie

Ease of use / learning curve

Glean offers a no‑code agent builder and SaaS onboarding, whereas Ragie requires API integration and custom setup.

Glean

Features & depth

Ragie includes hybrid search, OCR with bounding boxes, entity extraction, multimodal support, and MCP server.

Ragie

Integrations & ecosystem

Glean connects to 35+ workplace apps out‑of‑the‑box; Ragie lists a few native connectors but fewer overall.

Glean

Collaboration

Glean’s permission‑aware search and shared workspace focus on employee collaboration; Ragie is developer‑centric.

Glean

Scalability

Ragie guarantees 99.9%+ uptime and supports cloud, VPC, and on‑prem deployments for enterprise scale.

Ragie

Security & privacy

Ragie lists SOC 2 Type II, GDPR, HIPAA, CCPA compliance; Glean mentions ISO 42001 and HIPAA but fewer specifics.

Ragie

Choose Glean if…

Large enterprises that primarily need searchable knowledge across many SaaS tools and a no‑code AI agent builder.

Choose Ragie if…

AI teams building custom retrieval pipelines, needing multimodal data, on‑prem or VPC deployment, and deep control over indexing.

Common questions

Is there public pricing for either product?

No; both require contacting sales for pricing details.

Can I run the solution on‑prem for data isolation?

Ragie supports on‑prem/VPC deployment; Glean is SaaS‑only.

Which platform offers a no‑code way to build AI agents?

Glean provides a no‑code agent builder; Ragie requires API‑based integration.