One of the core features of chatless is knowledge base management, which allows users to build and manage local knowledge base systems. This feature allows users to upload various documents or manually enter content, and the system generates embeddings that can be used in subsequent queries. Embedding generation can be processed locally or through Ollama for inference.
In practice, users can make conversational inquiries about the contents of the knowledge base, such as asking the system to summarize financial data or extract key information. This feature is particularly suitable for students, researchers and workplace professionals to organize and analyze all kinds of documents. All operations are done locally, effectively protecting data privacy.
This answer comes from the articlechatless: lightweight native AI chat and knowledge base clientThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil