zl125798934

zl125798934 / epos-ai-assistant

Public

基于 LLM 的保险保全智能助手 Demo，集成了 RAG 检索增强生成、Tool/Function Calling、多轮对话记忆管理、意图识别与路由 等核心技术，实现智能问答、自动化客服、业务 Agent 等典型 AI 应用场景。本项目以保险保全真实业务场景为案例，涵盖退保、手机号变更等核心保全业务，展示了 AI 技术在传统金融保险领域的落地实践。

22
1
100% credibility
Found May 11, 2026 at 22 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Java
AI Summary

A web-based demo application featuring an AI chat assistant for insurance policy preservation tasks, including knowledge queries, policy lookups, surrenders, and phone number changes, with real-time operational dashboards.

How It Works

1
🔍 Discover the Insurance Helper

You find this smart chat helper online that makes handling insurance policies easy through simple conversations.

2
💻 Start It on Your Computer

You download it and launch the helper with a quick setup, connecting a smart thinking service so it can respond intelligently.

3
🌐 Open the Chat Page

A friendly web page appears in your browser with a chat area, session list, and lists of policies and services on the side.

4
💬 Begin a New Conversation

You click to start a fresh chat, and the assistant greets you warmly, ready to help with insurance questions or changes.

5
🗣️ Talk Naturally Like a Friend

You type everyday questions like 'Change my phone number on policy 80001' or 'What is surrender?', and it guides you step-by-step with confirmations and details.

6
📊 Watch Changes Happen Live

As you chat, the side lists update in real-time showing your policy details and new service requests, making everything feel connected and real.

✅ Task Completed Effortlessly

Your insurance change or query is done, with all updates visible, proving how simple AI makes handling policies.

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AI-Generated Review

What is epos-ai-assistant?

This Java-based LLM demo app builds a full-stack AI assistant for insurance policy management, handling tasks like surrenders, phone changes, and status queries through natural chat. Users get a Vue frontend with multi-session chat, streaming responses, and a live ops dashboard showing policy lists and service requests—no manual forms needed. Powered by Spring Boot, LangChain4j, and Qwen models, it demonstrates RAG for knowledge Q&A and agent tools for business actions in a real financial workflow.

Why is it gaining traction?

As an LLM github repository focused on agent assistants, it stands out by routing intents to specialized paths—knowledge retrieval, operations, or chit-chat—making complex insurance flows feel conversational. Developers grab this llm demo github project for its quick local setup (Maven backend, npm frontend) and end-to-end example of LLM democratization in regulated industries, skipping generic chatbots for production-like ops integration. The real-time data sync between chat and tables hooks those prototyping llm github integration.

Who should use this?

Backend Java devs building enterprise AI agents for customer service in finance or insurance. Teams evaluating LLM github projects for RAG+tools in regulated domains, like automating policy servicing without custom UIs. Ops engineers wanting an llm demonstration of conversational workflows with memory across sessions.

Verdict

Solid starter for LLM demo app experiments—excellent README with screenshots, flows, and setup—but only 22 stars and 1.0% credibility signal early maturity; expect tweaks for prod data/auth. Fork it for insurance prototypes or LangChain4j learning.

(198 words)

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