Ragie Connect
A managed RAG API that syncs Google Drive, Notion, and Slack into agent-ready context — but Ragie's service ends July 19.
Ragie's three-index hybrid search, Agentic OCR with bounding boxes, and pre-built Google Drive, Notion, Slack, and Confluence connectors are genuinely competitive, and the free Developer tier makes it cheap to test. But the vendor's own site banner says the service ends July 19, 2026, so a production commitment on Starter at $100/mo or Pro at $500/mo is a bet against a shutdown date. Take it for a short build, a prototype, or a last-mile migration to a durable retrieval stack — not for infrastructure you plan to run for years.
Verified 5d ago · liveness 85/100 · cite: rightaichoice.com/tools/ragie-connect
- Developers who need a RAG API wired to Google Drive, Notion, or Slack without building ingestion pipelines
- SaaS teams embedding retrieval into their product via the embedded-connector add-on
- Legal and sales-tech workflows that need OCR output with bounding boxes and auditable extraction
- Short-term builds and prototypes where speed to working retrieval beats long-term vendor stability
- Production deployments expected to run past July 19, 2026 — the vendor's site states the service ends then
- Teams wanting a finished chatbot rather than an API and retrieval layer
- Static document sets where a simple vector store would do the same job for less
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Skip Ragie Connect if you need retrieval infrastructure still running after July 19, 2026 — the vendor's own site banner states the service ends then.
Starter includes 10,000 pages; beyond that, Fast processing adds $0.02 per page and Hi-res adds $0.05 per page, so a large re-index can double your monthly bill.
The free Developer tier (1,000 documents, 1,000 pages, 10 GB audio/video streaming) is genuinely usable for evaluation, which is more than many RAG APIs offer. Starter at $100/mo (10,000 pages) fits a small SaaS pilot; Pro at $500/mo (60,000 pages, monthly or yearly billing) fits early production. Enterprise adds VPC and on-prem deployment plus SOC 2 Type II, HIPAA, and GDPR. Cheaper managed-retrieval options exist for static corpora; Ragie's premium buys connectors, Agentic OCR, and partitions
In short
Ragie Connect — A managed RAG API that syncs Google Drive, Notion, and Slack into agent-ready context — but Ragie's service ends July 19. Best for Developers who need a RAG API wired to Google Drive, Notion, or Slack without building ingestion pipelines, SaaS teams embedding retrieval into their product via the embedded-connector add-on, Legal and sales-tech workflows that need OCR output with bounding boxes and auditable extraction. Free to start; paid plans from $100/mo.
What's new in Ragie Connect
Checked 5 days agoAcross the latest 5 updates: 3 feature updates and 2 changelog entries.
Connector Sync Filters
Connectors now support glob-based sync filters to exclude documents by metadata pattern, giving precise control over what gets ingested.
Extraction Quality Improvements
Document extraction now supports a significantly higher output token limit, with noticeably better results on long, dense, and structurally complex documents.
Improved Word Document Detection
.doc and .docx files that were previously misidentified at the MIME type level are now reliably detected and processed.
NDJSON Support
.ndjson files are now indexed for retrieval alongside JSON, CSV, and other structured text formats.
Image Data in Element Responses
The Documents Elements API now returns base64-encoded image data directly in element responses, eliminating separate render requests.
What people actually say about Ragie Connect — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
16 mentions across 1 source (Product Hunt) · researched Jul 3, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +Pre-built connectors handle authentication and sync from major SaaS tools.
- +Automatically syncs user data from Google Drive, Notion, Salesforce, and more.
- +Supports text, PDFs, images, audio, and video content indexing.
- +Tenant isolation via partitions ensures data security for B2B.
- +MCP server provides agentic access to knowledge bases.
- −Limited real-world user feedback beyond launch day.
- −Potential credit exhaustion can pause syncs mid-project.
- −No clear indication of B2C suitability from community data.
- −Long-term reliability of third-party connectors untested.
- −Missing explicit compliance for enterprise security standards.
- • Credit overage charges can stop syncs if not managed
- • Enterprise tier pricing undisclosed
Viability Score
How well maintained and how widely used is Ragie Connect? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Hybrid search across vector, keyword, and summary indexes
- Pre-built connectors for Google Drive, Notion, Slack, Confluence
- Automatic connector sync keeps indexed context current
- Glob-based connector sync filters to exclude documents by metadata pattern
- Multimodal ingestion: text, PDFs, images, audio, and video
- Ragie Parse Agentic OCR (beta) extracts tables, forms, charts, and key-value pairs with bounding boxes
- Entity extraction defined in plain language (emails, dates, etc.)
- Reranking, recency bias, and hierarchical search
- Partitions for multi-tenant isolation and per-customer knowledge bases
- MCP Server for permissioned agent access to your knowledge base
- MCP Bridge out of Early Access and generally available
- Document Elements API returns base64-encoded image data directly in element responses
- NDJSON file indexing alongside JSON, CSV, and structured text
- Higher output token limit for extraction on long, dense documents
- Webhooks for document status and processing events, including paused_insufficient_credits
About Ragie Connect
Ragie is a managed RAG API that runs the whole retrieval pipeline for you. You upload files or sync them from Google Drive, Notion, Slack, and Confluence using pre-built connectors, then Ragie parses, chunks, and indexes the content so your agents and assistants get grounded context through a single API. It builds three separate indexes — vector, keyword, and summary — and combines them into hybrid search, with reranking, recency bias, and partitions for per-tenant isolation. Content coverage spans text, PDFs, images, audio, and video through one pipeline, and Ragie Parse uses Agentic OCR (in beta, selectable at ingest) to pull structured elements like tables, forms, charts, and key-value pairs with bounding boxes. Entity extraction lets you describe in plain language what to pull from every document. An MCP Bridge, generally available since May 5, 2026, gives agents permissioned access to your knowledge base. Glue reported shipping in three weeks instead of three months. The unavoidable catch: Ragie's own site states the service ends July 19, 2026, and the banner directs users to support@ragie.ai. Pricing runs from a free Developer tier to $100/mo Starter and $500/mo Pro, with per-page and per-minute overages. Use it for a fast build or a migration window, not for anything you need running next year.
Behind the Verdict
Ragie's pitch is narrow and strong: you get retrieved, structured context out of a single API without building ingestion. The 2026 changelog shows the team was still shipping right up to the end — glob-based connector sync filters (June 5), higher output token limits for dense documents (June 2), NDJSON indexing (May 20), and base64 image data returned directly in Document Elements API responses (May 14). The April 2 upgrade to the default extraction, summarization, and vision model carries a 400k token context window, and query-time reranking was tuned for lower latency. MCP Bridge left Early Access on May 5, 2026, which matters if your agents already live in an MCP-compatible client. The pricing structure is where you need to read carefully. Developer is free but caps at 1,000 documents and image retrievals and 1,000 pages. Starter at $100/mo includes 10,000 pages, and Pro at $500/mo includes 60,000 pages — both then charge $0.02/page for Fast processing, $0.05/page for Hi-res, $0.002 per page/month for search and storage, $0.0067/min for audio, $0.025/min for video, and $0.12 per GB/month for storage. Embedded connectors run $250/mo each after the first free one. Where it fits: multi-tenant SaaS that needs partition isolation, legal and sales-tech workflows that need auditable OCR output with bounding boxes, and any team that needs working retrieval in weeks. Where it does not: teams that want a finished chatbot rather than an API and retrieval layer, static document sets where a plain vector store would do the same job for less, very large corpora where per-page overages stack up, and — most importantly — anyone planning to run this past July 19, 2026.
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Real-world workflow fit
Concrete scenarios for the personas Ragie Connect actually fits — and what changes day-one when you adopt it.
Create a Ragie partition per customer workspace, connect Google Drive and Notion via the embedded connector add-on so each end user links their own drive, then query the partition from your backend using hybrid search with reranking.
Outcome: Per-tenant context isolation without building an ingestion pipeline or a connector OAuth flow yourself.
Ingest contract PDFs with Agentic OCR selected as the ingest mode, define entity extraction in plain language for dates and parties, and pull structured elements with bounding boxes from the Document Elements API for citation display.
Outcome: Auditable extraction output you can show next to the source region, rather than an opaque summary.
Start on the free Developer tier, sync Confluence, Slack, and Google Drive with glob-based sync filters to exclude archived spaces, then expose the index to an existing MCP-compatible agent via the MCP Bridge.
Outcome: A working internal assistant without writing ingestion code, at zero cost while you evaluate.
Use Cases
- Sync a user's Google Drive and Notion documents to power a support chatbot that answers from their own files.
- Automatically extract entities like contract dates and parties from legal PDFs for a drafting assistant.
- Build a resume parser that extracts structured skills and experience from candidate uploads.
- Index Confluence, Slack, and Salesforce content into a product knowledge base for employee queries.
- Enable an email assistant that retrieves context from Outlook messages and attachments, including .msg files.
- Process textbooks, videos, and lecture notes into a searchable study aid.
- Give MCP-compatible agents permissioned access to a knowledge base via the MCP Bridge.
- Index NDJSON, CSV, and other structured text files for retrieval alongside documents.
Models Under the Hood
as of 2026-09-23
Limitations
- Ragie's service will end on July 19, 2026, per the site notice, which directs users to support@ragie.ai.
- Plans run from a free Developer tier to Starter at $100/month, Pro at $500/month billed monthly or yearly, and Enterprise with custom pricing.
- Going past your included pages costs $0.02/page (Fast) or $0.05/page (Hi-res), plus $0.002 per page/month for search and storage, $0.12 per GB/month for storage, and pay-as-you-go audio at $0.0067/min and video at $0.025/min.
- Embedded connectors are $250 per additional connector/month after the first free one.
- Paid plans use a prepaid credit balance that auto-funds overages in $100 increments.
- Ragie is a developer-facing API platform (SDKs, docs, MCP server) rather than an end-user app.
as of 2026-10-02
Verification history
We have re-verified Ragie Connect 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Ragie Connect tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Developer
$0/mo
Ideal for
Individual developer evaluating RAG or building a personal project who needs advanced features without committing budget.
What this tier adds
Free entry point: 1,000 documents and image retrievals, 1,000 pages, 10 GB free audio/video streaming, 10 hours free audio/video processing, all advanced features included.
Starter
$100/mo
Ideal for
Smaller-scale projects moving off evaluation limits into a real pilot with unlimited retrievals.
What this tier adds
Adds unlimited documents and image retrievals and 10,000 included pages versus Developer's 1,000, at $100/mo, with overages billed per page.
Pro
$500/mo
Ideal for
Small businesses and startups running Ragie as production retrieval, needing 60,000 included pages.
What this tier adds
Raises included page processing from 10,000 to 60,000 and supports monthly or yearly billing; same per-page, per-minute, and storage overage rates as Starter.
Enterprise
Custom
Ideal for
Regulated or high-scale teams needing dedicated SLAs, VPC or on-prem deployment, and custom pricing.
What this tier adds
Adds dedicated SLAs, unlimited included pages, custom page/audio/video/storage pricing, cloud-VPC-on-prem deployment, and SOC 2 Type II, GDPR, HIPAA, and CCPA coverage.
Embedded Connectors add-on
$250/mo per connector
Ideal for
SaaS teams that want their own customers to connect data inside the product rather than the team pre-loading it.
What this tier adds
Standalone add-on priced per connector: first connector free, then $250 per additional embedded connector per month.
Where the pricing makes sense
The company stage and team size where Ragie Connect's pricing actually pencils out — and where peers do it cheaper.
The free Developer tier (1,000 documents, 1,000 pages, 10 GB audio/video streaming) is genuinely usable for evaluation, which is more than many RAG APIs offer. Starter at $100/mo (10,000 pages) fits a small SaaS pilot; Pro at $500/mo (60,000 pages, monthly or yearly billing) fits early production. Enterprise adds VPC and on-prem deployment plus SOC 2 Type II, HIPAA, and GDPR. Cheaper managed-retrieval options exist for static corpora; Ragie's premium buys connectors, Agentic OCR, and partitions
Setup time & first value
How long it actually takes to get something useful out of Ragie Connect — broken out by persona, not the marketing-page minute.
Developers: first retrieval in under an hour using the free Developer tier and a pre-built connector. Teams embedding connectors: budget a day or two for the OAuth and partition model. Legal or sales-tech workflows needing OCR and entity extraction: allow a few days to tune extraction prompts and validate bounding-box output against real documents. Migration-only users: hours, once you know your
Switching to or from Ragie Connect
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a self-hosted vector store (Pinecone, Weaviate, pgvector): re-ingest source documents through Ragie connectors or the upload API rather than importing raw vectors — Ragie rebuilds its own three indexes.
- ↗INSUFFICIENT_DATA
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Ragie Connect”, and we withheld 5: 5 did not mention Ragie Connect. Showing the 1 we can prove is about Ragie Connect.
Official links
Tools that pair well with Ragie Connect
Common stack mates teams adopt alongside Ragie Connect, with the specific reason each pairing earns its keep.
GraphRAG
Open-source Microsoft Research RAG that builds a knowledge graph and community summaries from your documents, then queries them in four modes.
HanLP
Production-grade multilingual NLP toolkit for Chinese and 100+ languages, with deep linguistic analysis.
Lance
Lance is an open lakehouse format for multimodal AI, pairing a file format, table format, and catalog spec with hybrid vector and full-text search on object
Featured Head-to-Head Comparisons
Ragie Connect vs Spider Cloud
Choose Ragie Connect if your AI app needs to pull data from user SaaS services like Google Drive or Slack – it handles auth, sync, and retrieval in one platform. Choose Spider Cloud if your project requires live web content, scraping, or browser automation for AI agents – it’s cheaper per page and more flexible for open-ended web data. They serve different data sources: internal user files vs. public web.
Ragie Connect vs Screenplayiq
Choose ScreenplayIQ if you're a screenwriter or producer who needs data-driven script analysis and box office prediction. Choose Ragie Connect if you're a developer building AI assistants that must query user data from multiple SaaS tools, or a team needing a scalable RAG pipeline. They serve entirely different use cases — there is no overlap.
Ragie Connect vs Temporal Ai
Choose Temporal AI if you're building reliable AI agents or multi-step workflows that must survive failures and retain state — it's a heavyweight orchestration engine trusted by OpenAI and Replit. Choose Ragie Connect if your primary need is to quickly plug into your users' SaaS tools (Google Drive, Notion, Slack) and build a RAG-based assistant without managing data pipelines. They solve different problems: Temporal is about execution reliability, Ragie is about data ingestion.
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