This sample demonstrates a Java AI agent built on Azure OpenAI Service and LangChain Java libraries. It ingests banking PDF documents to enable conversational question-answering about account statements, loan terms, and transaction histories in a secure, scalable manner.
AI Platforms & Frameworks
Document Processing
Finance & Accounting
#banking assistant
#Java application
#semantic search
#PDF parsing
#conversational AI
#OpenAI-Integration
#financial summary
#loan agreement explanation
#transaction details retrieval
#banking queries
#vector embeddings
#Azure services
#custom data handling
#Rapid Prototyping
#AI-driven banking
#secure infrastructure
#User-friendly interface
#Efficient Development
#domain-specific AI
#machine learning in finance
...
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Agent-OpenAI-Java-Banking-Assistant
This sample demonstrates a Java AI agent built on Azure OpenAI Service and LangChain Java libraries. It ingests banking PDF documents to enable conversational question-answering about account statements, loan terms, and transaction histories in a secure, scalable manner.
AI Platforms & Frameworks
Document Processing
Finance & Accounting
#banking assistant
#Java application
#semantic search
#PDF parsing
#conversational AI
#OpenAI-Integration
#financial summary
#loan agreement explanation
#transaction details retrieval
#banking queries
#vector embeddings
#Azure services
#custom data handling
#Rapid Prototyping
#AI-driven banking
#secure infrastructure
#User-friendly interface
#Efficient Development
#domain-specific AI
#machine learning in finance
...
Featured
What is Agent-OpenAI-Java-Banking-Assistant?
Agent-OpenAI-Java-Banking-Assistant is an open-source Java application that uses Azure OpenAI for large language model processing and vector embeddings for semantic search. It loads banking PDFs, generates embeddings, and performs conversational QA to summarize financial statements, explain loan agreements, and retrieve transaction details. The sample illustrates prompt engineering, function calling, and integration with Azure services to build a domain-specific banking assistant.
Who will use Agent-OpenAI-Java-Banking-Assistant?
- Java developers building AI chatbots
- Fintech companies and startups
- Bank IT and operations teams
- Solution architects exploring Azure AI
How to use the Agent-OpenAI-Java-Banking-Assistant?
- Step1: Clone the GitHub repository to your local machine.
- Step2: Provision Azure resources: OpenAI Service, Cognitive Search, and Blob Storage.
- Step3: Set environment variables with your Azure endpoint and API keys.
- Step4: Place banking PDF files into the configured documents folder.
- Step5: Build and run the Java application using Maven or Gradle.
- Step6: Interact with the assistant via the console or integrate into your own UI.
Platform
- mac
- windows
- linux
Agent-OpenAI-Java-Banking-Assistant's Core Features & Benefits
The Core Features
- PDF document ingestion and parsing
- Embedding generation for semantic search
- Conversational question-answering
- Azure OpenAI Service integration
- Function calling and prompt customization
- Banking-specific query handling
The Benefits
- Rapid prototyping of domain-specific agents
- Secure and scalable Azure infrastructure
- Reduced development time with sample code
- Extensible architecture for custom data
- High-quality responses via vector search
Agent-OpenAI-Java-Banking-Assistant's Main Use Cases & Applications
- Answer customer questions about account statements
- Summarize loan agreements and terms
- Retrieve transaction histories on demand
- Automate banking document support workflows
FAQs of Agent-OpenAI-Java-Banking-Assistant
Agent-OpenAI-Java-Banking-Assistant Company Information
- Microsoft Azure
Agent-OpenAI-Java-Banking-Assistant Reviews
5/5
Agent-OpenAI-Java-Banking-Assistant's Main Competitors and alternatives?
- Azure OpenAI Python Banking Assistant sample
- IBM Watson Assistant
- Rasa Open Source
- Google Vertex AI AI chatbot samples
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