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AI assistant for providing answers on the legislative framework
15-20%
25%
conversion increased
by
by
the average transaction cycle time has decreased
Public sector
AI-powered chatbots and the LLM
Customer
A large state corporation
CHALLENGES/FEATURES
Maintaining and understanding the context of a conversation
Emulating human communication: utilizing emotional intelligence and the ability to respond using the personality traits and communication nuances typical of a real employee
Multi-threading and scenario adaptation: developing a flexible decision-making mechanism and adapting the communication strategy to different user behaviors, ensuring a personalized approach regardless of scenario complexity
Emulating human communication: utilizing emotional intelligence and the ability to respond using the personality traits and communication nuances typical of a real employee
Multi-threading and scenario adaptation: developing a flexible decision-making mechanism and adapting the communication strategy to different user behaviors, ensuring a personalized approach regardless of scenario complexity
Develop an AI assistant integrated into Telegram to provide answers on legal matters. The AI assistant should answer user questions based on information in the knowledge base and provide links to relevant sources when generating answers.
Task
solution
Technical solution
The AI technical support assistant is implemented in Telegram using the open-source langchain/langgraph libraries and the open-source Gemma3 large language model. The technical solution includes:
1. A document loading and indexing mechanism that takes into account their structure;
2. Building a knowledge base for hybrid search (based on keywords, semantic proximity, and graph search);
3. Creating a request processing graph based on an extended RAG to ensure the accuracy of responses and significantly reduce hallucinations;
4. Monitoring and evaluating request execution.
1. A document loading and indexing mechanism that takes into account their structure;
2. Building a knowledge base for hybrid search (based on keywords, semantic proximity, and graph search);
3. Creating a request processing graph based on an extended RAG to ensure the accuracy of responses and significantly reduce hallucinations;
4. Monitoring and evaluating request execution.
Result
Business values
Автоматизированный ИИ
The assistant allows you to reduce the time it takes to search for information by 3 times
Increasing user loyalty
Высокая скорость обработки запросов
Answers are provided based on the most current information.
AI
AI
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