馃殌 Feature Request: Document Summarization
Description
Add the ability for GGUF Loader to summarize uploaded documents (PDF, DOCX, TXT, etc.) into concise and readable summaries. This would help users quickly grasp the key insights of long documents.
馃搶 Use Case
- User uploads a document (e.g., 20-page research paper)
- GGUF Loader processes and returns:
- Bullet-point summary
- Optional short paragraph summary
- Possibly a title and topics
馃幆 Expected Behavior
- After loading a document, a "Summarize" button appears
- Summary appears in the chat UI or in a dedicated side panel
- Option to regenerate, copy, or export the summary
馃搨 Suggested Approach
- Use an offline model like Mistral-7B or ERNIE 0.3B
- Use chunking (e.g. 1000 tokens with overlap)
- Run summarization on each chunk, then merge summaries
馃З Dependencies
langchain or custom summarizer
- Optional:
pdfplumber, docx, unstructured, etc.
馃搸 Additional Context
This would make GGUF Loader more than a chatbot鈥攊t becomes a personal research assistant or reader.
馃搶 Labels
enhancement
summarization
offline-feature
馃殌 Feature Request: Document Summarization
Description
Add the ability for GGUF Loader to summarize uploaded documents (PDF, DOCX, TXT, etc.) into concise and readable summaries. This would help users quickly grasp the key insights of long documents.
馃搶 Use Case
馃幆 Expected Behavior
馃搨 Suggested Approach
馃З Dependencies
langchainor custom summarizerpdfplumber,docx,unstructured, etc.馃搸 Additional Context
This would make GGUF Loader more than a chatbot鈥攊t becomes a personal research assistant or reader.
馃搶 Labels
enhancementsummarizationoffline-feature