Question and Answer
Provides accurate, context-aware responses to user queries. Enables automated customer support, knowledge base interactions, and conversational assistance across various domains.
Detailed description
The Question and Answer Chatbot Service provides an intelligent question-answering interface powered by retrieval-augmented generation (RAG). Users can query ingested documents through a conversational interface, receiving contextually relevant answers backed by source citations. The service combines vector search, semantic reranking, and large language model inference to deliver accurate responses from your document corpus.
Built with FastAPI and supporting both streaming and non-streaming responses, the chatbot integrates with OpenSearch for vector storage, uses embedding models for semantic search, and leverages reranking models to improve result relevance. The service includes comprehensive performance tracking, multi-language support (English and German), and OpenAI-compatible API endpoints for seamless integration.
For full endpoint specifications and integration details, refer to the Question and Answer API documentation.
Deployment & Usage
This service can be used as part of digital assistants.