With amberSearch you can also search Jira & Confluence.
Challenges in searching for information in Atlassian systems
Searching for relevant information in Jira and Confluence can be a time-consuming challenge for many companies. Jira, as a leading tool for project management and issue tracking, and Confluence, as a central platform for knowledge management, are essential for the daily work of many teams. However, the native search functions of these tools reach their limits when it comes to data volumes that have grown over the years: separate search processes, limited filter options and a lack of semantic intelligence make it difficult to find the right data quickly and efficiently. At the same time, users today are accustomed to a different quality of search from the internet via tools such as ChatGPT & Co.
For internal company purposes, there is therefore amberSearch – a powerful AI platform with an integrated search function that makes it possible to seamlessly search Jira and Confluence. With AI-supported semantic search and an intuitive user interface, amberSearch offers a solution to the challenges of modern enterprise search not only for Jira and Confluence, but also across systems.
Limitations of native search options in Jira and Confluence
1. The complexity of JQL (Jira Query Language)
Jira offers a way to search for tickets using JQL. However, this function requires in-depth knowledge of syntax and filter options. For many end users, JQL is therefore not very intuitive and time-consuming. In addition, the search is limited to ticket data within a Jira project – a cross-project search within Jira is not possible.
2. Limitations of the Confluence search
While the native search in Confluence allows users to find page content and attachments, it reaches its limits when faced with more complex requirements. For example, older versions of documents are often not taken into account, and the search remains superficial because no semantic relationships are recognised.
3. Separate search processes
Another problem is the lack of integration between Jira and Confluence: if you need information from both systems – for example, a ticket with a linked knowledge page – you have to perform two separate searches. This costs time and often results in important information being overlooked.
amberSearch: A semantic search platform for Atlassian products
amberSearch stands out from the native features in Jira and Confluence with its AI-based semantic search technology. The platform allows users to search relevant information from both systems simultaneously – whether it’s tickets, comments or knowledge pages.
Key features of amberSearch:
- Cross-system search: Search Jira tickets, Confluence pages and other systems such as drives, M365 or the DMS system in a single operation.
- Semantic intelligence: amberSearch understands the context of your searches and delivers much more precise results than traditional keyword-based searches.
- Intuitive user interface: The platform is easy to use and requires no technical knowledge for installation or use.
- Increased efficiency: Teams save valuable time searching for project-related data and can thus focus on the tasks that really add value.
With amberSearch, searching for information in Atlassian products is not only faster, but also more intelligent. The platform recognises connections between data points and presents results in a way that allows users to access them directly – without long filter settings or complex queries.
Technical integration and how it works
1. Integration into existing Atlassian infrastructure
amberSearch connects seamlessly with Jira and Confluence via API interfaces that are available for cloud and on-premises installations:
- To do this, an app must first be registered for amberSearch.
- This app must then be given the necessary access permissions so that the data can be indexed.
- It goes without saying that all information is processed in accordance with the GDPR and the AI Act.
- Data protection and permissions
amberSearch respects the access restrictions set by Jira and Confluence:
- Rights management: Users only see search results for which they are authorised. There is no need to set new rights, as these are simply taken from your Atlassian instance. Data processing: Data is not passed on to third parties (GDPR-compliant), is encrypted and processed in Germany by default. 3. Indexing behaviour and performance
Daily indexing: Changes are updated in the index daily Batch search: Historical data is fully indexed during the initial setup.
Advantages of amberSearch over other enterprise search tools
- Atlassian-specific optimisation: amberSearch is explicitly developed for Jira/Confluence data structures and can handle custom fields, page hierarchies, etc.
- Minimal configuration effort: No manual schema definition or complex pipelines required.
Implementation and first steps
1. Typical implementation process
- Phase 1 – Evaluation:
- Integration & testing
- Connecting amberSearch as part of a pilot project, for example, often together with other systems such as M365 and the CRM tool
- Training key users for testing
- Phase 2 – Rollout:
- Integrating all relevant systems
- Onboarding of all employees, provision of the software via intranet using iframe, chat widget, desktop app, etc.
- Phase 3 – Monitoring:
- Usage analyses to optimise search results
2. Best practices for success
- Start with specific departments and concrete use cases. This makes using the AI much easier and more intuitive
- Showcase successes: Regularly share the successes you achieve with your team so that they can learn from your progress and be inspired
Conclusion: Why amberSearch is revolutionising search
amberSearch solves a core problem of modern companies: the fragmentation of knowledge and the loss of knowledge due to demographic change. By searching across systems in Jira and Confluence, teams reduce search times by up to 40% and avoid redundant work – because knowledge that has already been digitised remains accessible.
Act now:
- Test amberSearch for free with your own data.
- Book a demo for an individual use-case-analysis.
- Benefit from our Customer Success Team to make your AI implementation a success! Try out amberSearch in combination with Jira and Confluence yourself
We have developed an online demo for you to test all the different functions of amberSearch. Just sign up for our online demo: