document.ai
StaleDescription
A universal local knowledge base solution based on vector databases and GPT, providing one-stop document processing with vectorization, semantic search, and intelligent Q&A for building private knowledge bases.
Key Features
- Universal local knowledge base based on vector database and GPT
- Document upload with vectorization and storage
- Semantic search and intelligent Q&A
- Q&A split queries for improved accuracy
- Topic word extraction to optimize vector similarity
- Supports custom-trained Embedding models for domain-specific use cases
Use Cases
π‘ Enterprise internal document knowledge base
π‘ Intelligent Q&A in customer service chat scenarios
π‘ Domain-specific Q&A systems for healthcare and other verticals
π‘ Semantic search over private data
π‘ Long-term knowledge base maintenance combined with Fine-tune
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Quick Start
Clone the repository, install dependencies, prepare a local document dataset, run the vectorization script to store documents in the vector database, start the service, and submit queries via the API to receive intelligent answers.