Natural Language
Describe what you need in a clear sentence instead of relying only on short keywords.
Semantic Search
Search for HRIS information using natural language via Semantic Search, powered by LLM integration, in Sigma HRIS and Forte HRIS. Describe the information you need using everyday language without having to guess exact keywords.
Search for Information Using Everyday Language
Users may not know the terms used in an application. Semantic Search integrates with a large language model, or LLM, to support searches written in everyday language. Describe what you need, then check the results available within the configured sources and access rights.
User Query Intent
Add an explanation regarding the information being sought to clarify the intent. Context helps distinguish between queries that share similar terms.
Integration with LLMs
LLM integration is a feature of Semantic Search. During a demo, users can see how the search function applies to available information.
Reviewing Results
Review the relevance of the results and the displayed information sources. Search tools help locate information, but users still need to verify the context.
Use Search Examples Relevant to User Needs
Companies can prepare examples of everyday queries to evaluate the search experience. If the required information is unavailable or the query lacks specificity, results should be reviewed and the query refined. Demos help map out information sources and search scopes that align with company needs.
Define the Information Being Sought
Select practical use cases and relevant information sources.
Use Natural Language
Explain the intent and context without needing to guess specific terminology.
Review Result Relevance
Check whether the retrieved information meets the user's needs.
Semantic Search Enables Intent Based Searching
Keyword based search relies on term matching, whereas semantic search aims to understand the search intent. In an HRIS, this approach allows users to articulate their needs using natural language. LLM integration supports this interaction, though queries still require clear context. Users must also verify that the results align with their needs and the applicable reference data.
It is often easier to ask a question in everyday language than to remember the exact term used in an application. Semantic Search in Sigma HRIS and Forte HRIS supports this through LLM integration. Add the purpose or relevant details to make the search more specific. Show your team sample questions so they know how to use it. Once information is found, they still need to read it and check that it meets their needs.
During the demo, use various ways to phrase the same query and observe how users evaluate the results. If a question is too broad, add relevant context without including unnecessary sensitive data. Discussions can focus on the ease of finding information and the steps to take when results do not quite match expectations. Based on these examples, users can assess whether semantic search aids their daily tasks. Users retain the responsibility of verifying that the information found aligns with official guidelines before using it for corporate actions or decisions.
Specify the Information You Wish to Find
For instance, use the question "How do I apply for leave?" instead of simply typing "leave." Results will reflect available information and the user's access rights. When testing Semantic Search in Sigma HRIS or Forte HRIS, use search examples based on your team's actual activities. Pay attention to result relevance and the need to clarify questions so that the tool's utility in daily work can be properly evaluated.
Try using various everyday questions during the Semantic Search demo. If the results are not quite right, add context to see if the search becomes more helpful. Avoid entering unnecessary sensitive data. This approach makes it easier for users to assess the benefits. Search results should still be read and verified before use; the goal is to assist in finding relevant information, not to replace user judgment in decision making.
Sigma HRIS and Forte HRIS are continuously developed with AI powered capabilities. Sigma HRIS is available for on premises and private cloud environments, while Forte HRIS is cloud based. AI usage can be tailored to your company's specific needs and policies. Prepare safe, representative work scenarios for the demo to better evaluate the benefits. Our team explains how to use the system and provides support whenever assistance is needed.
Choose Sigma HRIS or Forte HRIS to Match Your Business
Both products serve small businesses through large enterprises. Their main distinction is how you deploy and manage the system. We help you choose based on operational needs and IT policies.
Choose Sigma HRIS for on premises deployment on your own servers or in a private cloud. Our team helps configure the application around your HR processes and IT policies.
Learn More
Choose Forte HRIS for a cloud based application. We help select modules, prepare records and guide users according to your HR requirements.
Learn MoreSigma HRIS and Forte HRIS are continuously updated to reflect user needs, including ESS, mobile applications and AI powered capabilities. Explore them in a demonstration using examples from your business.
Compare the ProductsHRIS Implementation Guidance and Application Support
Sigma Solusi Informatika has developed HR and payroll systems for more than 10 years. Drawing on this experience, our team can map your business processes in just a few hours.
Data Preparation and Application Setup
Start with the records and workflows you already use. We help prepare and migrate data and configure the application to fit your processes from the outset.
Application Support After Implementation
Our support team and project manager remain available after launch. We answer questions and help resolve issues so HR can keep work moving.
Semantic Search FAQs
What is Semantic Search in HRIS?
Semantic Search looks for information based on what a question means. LLM integration lets users ask in everyday language without knowing the exact keywords.
Is Semantic Search integrated with LLMs?
Yes. It is directly integrated with LLMs, allowing searches to be conducted using natural language.
Do I have to use the exact same words as the information title?
The goal is to allow users to convey their intent using natural language. Results depend on available information and the clarity of the request.
Can the search function access all company data?
The search operates based on defined information sources and access rights. Our team can help explain the scope. Sensitive data is not shared with the AI integration.
What should be done if the results are not satisfactory?
Clarify the context of the request and check if the desired information is available. Our team can assist in discussing source requirements and usage.
What should be prepared for the demo?
Prepare sample questions, target information sources, and user groups so the search scope can be reviewed.
Discuss Semantic Search Needs with Our Team
Tell us which tasks you want to simplify and the challenges your team faces. We are ready to demonstrate how the application works, assist with setup, and provide guidance on its use.