A complete solution for intelligent parsing of documents using chatless:
- Document UploadSupports batch uploading of PDF/TXT/DOCX formats and automatically generates searchable text after parsing.
- Embedding Generation: Create semantic embedding of documents via Ollama's local or remote APIs to build structured knowledge bases
- conversational query: Enter a natural language question such as 'Summarize the main points of Chapter 3' and the system instantly returns the parsing result.
- fig. repository of knowledge (e.g. scientific knowledge): The parsing results can be stored in the knowledge base for continuous accumulation, supporting subsequent cross-queries and historical traceability.
Key points: For large documents, it is recommended that the processing of sub-chapters; encrypted documents need to be decrypted first; the system does not support the scanning version of the PDF OCR recognition, you need to ensure that the document is editable format.
This answer comes from the articlechatless: lightweight native AI chat and knowledge base clientThe
May not be reproduced without permission:AI productivity tools " An Efficient Approach to Intelligent Parsing and Q&A of Native Documents
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