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Document QA
Transforms unstructured documents into a searchable knowledge base, enabling AI-powered question answering.
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This system provides a robust solution for document-based question answering. It seamlessly integrates with Google Drive to ingest text documents, processes them by splitting into chunks, and generates embeddings using OpenAI's models. These embeddings are then stored in Qdrant Cloud for efficient vector similarity search. When a user queries, the system retrieves relevant context from the stored documents and leverages OpenAI's GPT-4 to generate accurate, natural language answers, exposed via a flexible REST API. It also incorporates a modular MCP server for extensible tool handling.
API Development
Data Science & ML
Content Management
