RAGgenie is a low-code platform that enables users to build custom conversational AI applications using their own data, without requiring advanced technical skills.
Developer & AI Platformraggenie.comTracked since 2026-08-211 discovery source
423Backlinks
84Referring domains
20Domain authority
-6.1%Referring domains · 90 days
Authority & distribution
How strong is RAGgenie’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
423Current snapshot
Referring domains
84Current snapshot
Authority
20Domain authority · category median 22
90-day move
-6.1%Referring domains, last 90 days
At 20, RAGgenie sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“RAGgenie”
RAGgenie is a low-code platform that enables users to build custom conversational AI applications using their own data, without requiring advanced technical skills.
Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://www.raggenie.com
Observed across 1 discovery source.
Research questions
What the evidence answers about RAGgenie.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does RAGgenie do, and what problem does it solve?
RAGgenie is a low-code platform that allows users to build custom conversational AI applications, specifically GenAI copilots, using their own data. It solves the problem of needing advanced technical skills to create such tools, enabling users without coding expertise to build and deploy them. The platform's core function is described as letting you "craft your own conversational AI tool using data you already have."
What features and integrations does RAGgenie offer?
RAGgenie offers a low-code RAG (Retrieval-Augmented Generation) builder for creating GenAI copilots. It includes out-of-the-box connectors to integrate various data sources, as mentioned in the "Connect your Data" section. The platform is open source, as indicated by its tag and the mention of a "collaborative GitHub community." It also provides tutorials and demo resources for learning.
What is RAGgenie used for, and in what situations?
RAGgenie is used to build custom conversational AI applications or copilots for personal use, distribution to others, or integration into existing applications. The platform is suitable for situations where a user wants to create a AI tool from their own data quickly, such as building a "GenAI copilot in minutes." The homepage mentions using it for personal benefits, sharing, or app integration.
Who is RAGgenie for?
RAGgenie is designed for users who want to build conversational AI tools but may not have advanced technical skills. The product's taxonomy reason states it is "aimed at developers and tech users," while the homepage emphasizes it "doesn't require any advanced technical skills." This suggests it targets both technical users (developers) and non-technical users who want a low-code solution.
What is RAGgenie?
RAGgenie is a low-code, open-source platform for building custom conversational AI applications, specifically RAG-based GenAI copilots, using your own data sources without requiring advanced coding skills.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full RAGgenie intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured