RAG & Intelligent Assistants
We specialize in developing enterprise AI platforms that transform how you work with data.
Our custom AI agents leverage retrieval-augmented generation (RAG) and document intelligence to create smart assistants tailored to your business needs.
20
Years Of Business
65
AI Engineers
20+
Completed Projects
Use Cases
01
Complex Analytics over Structured Datasets
Users can ask natural language questions about time-series data, statistical records, or KPIs stored in databases, and receive answers, trends, and comparisons with context-aware summaries.
02
Natural Language Search for Enterprise Databases
Employees can query internal databases using conversational language—no need for SQL or filters—while maintaining access controls and respecting data hierarchies.
03
Technical Knowledge Retrieval
Engineers and technical staff can retrieve information from manuals, specs, and internal docs without navigating complex folders or PDFs.
04
Cross-System Knowledge Aggregation
Aggregate knowledge scattered across CRMs, ERPs, file storage, and wikis to deliver context-rich answers from all relevant sources.
Key Capabilities
AI agents that learn directly from your company's knowledge base and documents
Knowledge-based question answering
Faster and more accurate information retrieval
Knowledge-based question answering
Faster and more accurate information retrieval
- Integrate structured and unstructured data sources (e.g., databases, documents, APIs).
- Utilize vector databases for efficient semantic search.
- Implement access controls and data governance policies.
- Combine retrieved data with LLMs to generate coherent, context-rich responses.
- Support multi-turn interactions for complex query handling.
- Provide source citations for transparency and trust.
- Tailor retrieval and generation pipelines to specific business needs.
- Incorporate domain-specific ontologies and taxonomies.
- Enable feedback loops for continuous improvement.
- Deploy on-premises, in the cloud, or hybrid environments.
- Ensure low-latency responses for real-time applications.
- Monitor and log interactions for compliance and analytics.
Need to improve your knowledge base?
Contact us to get a free consultation and a project roadmap
When RAG-based Assistants Are Beneficial
When rapid access to key company metrics is essential for operational decisions and strategic planning, RAG systems can swiftly compile data from internal databases and external sources to provide comprehensive answers.
To effectively manage projects, monitor progress, adhere to deadlines, and oversee team task completion, AI assistants facilitate quick searches through project documentation and provide timely insights.
In monitoring financial indicators, budgeting, and cash flow management, AI agents offer immediate access to financial and legal information, expediting decision-making processes.
RAG systems assist in identifying and managing risks, analyzing data, and generating reports, thereby enhancing the organization's risk assessment capabilities.
To ensure operational efficiency and compliance with quality standards, AI assistants provide real-time monitoring and insights into ongoing processes.
FAQ
We care about the confidentiality of our clients' and partners' data. The NDA provides protection for information related to projects and clients and ensures it is only used within the referral program.
This is one of our email domains.
themsteam.com is the domain we have used for many years, so everyone in the company is used to it. You can receive emails from us from at either businesswaretech.com or themsteam.com.
We work with Fortune 500 companies and startups. Our notable clients include American Airlines, IBM, Microsoft, Samsung, Mitsubishi Electric, Burger King, Delta, and more.
Visit Clutch or contact us directly.
We have reviews on Clutch. We can provide direct references from our clients too. Contact us for more details.
Our company is registered in the USA.
Our company is registered in Delaware, USA. Our development office is located in Novosibirsk, Russia.
Write to us at ref@businesswaretech.com, and we will be happy to help.
An AI assistant is designed to interact and respond using natural language processing to provide a conversational experience. A RAG (Retrieve-And-Generate) system specifically focuses on fetching relevant information before generating responses, making it part of how some AI assistants operate, but not defining their entire functionality.
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