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WikiFix for Confluence
Find and fix issues in your knowledge base
60 followers
Find and fix issues in your knowledge base
60 followers
WikiFix monitors your KB for issues like contradicting pages, duplicates and orphans, and fixes them in one click once you approve, so your team can trust what it reads or hears from AI.
Products used by WikiFix for Confluence
Explore the tech stack and tools that power WikiFix for Confluence. See what products WikiFix for Confluence uses for development, design, marketing, analytics, and more.
Productivity 1
Productivity 1
AtlassianOur mission is to help unleash the potential of every team.
4.8 (9 reviews)
Notion
GitConfluence is where a lot of long-lived company wikis live: years of pages that nobody has time to keep accurate. That made it the natural place to start WikiFix. Forge gave us solid tooling to build inside Confluence, and the Marketplace is where those teams look for apps. Forge runs the front end and our engine runs on our own backend, which gives us room to grow what WikiFix covers as we go.
LLMs 1
LLMs 1
JevFast, structured AI decisions for software automation
5.0 (7 reviews)
Also considered:
Cohere
Sonnet 4.6Jev is our QC. Before a suspected contradiction becomes a WikiFix finding, Jev checks whether the passages really disagree or only look like they do. That audit used to take three votes from Claude Sonnet. Jev does it in one call and returns a calibrated probability we set a threshold on. Scanning the same 415-page handbook dropped from 13k credits to 5k.
Data analysis tools 1
Data analysis tools 1
Neo4j Graph DatabaseNeo4j is an open-source graph database, implemented in Java.
5.0 (12 reviews)
Also considered:
Weaviate
PostgreSQLNeo4j Aura was the only option that handled volume without overloading the main database or costing a fortune. With Aura, the database stays idle. Each scan gets its own session, which we delete afterwards, so we don't pay for anything that runs all the time. Nearest-neighbor search and grouping are built in, so we don't have to juggle the data volume in our own infra.