Comments (3)
It sounds like the issue with Quivr not utilizing your added documents for answering questions might be related to the configuration of the ollama/lama2 integration. Ensure that the OLLAMA_API_BASE_URL
is correctly set in your .env
file, as it needs to be uncommented and provided with the correct URL to enable the integration properly. This step is crucial for Quivr to use the documents you've added for retrieval-augmented generation.
There's no specified minimum number of documents required for Quivr to function. The system should use the documents you've added as long as they are correctly formatted and accessible. Ensure your PDFs about malaria are structured in a way that their content can be directly used as input to the system. Each document's content should be self-contained and understandable on its own, following the DEFAULT_DOCUMENT_PROMPT
template format.
Quivr generates a list of sources from the documents associated with a given brain ID without explicitly prioritizing certain sources over others. It processes URLs and file paths differently, ensuring each source is unique and accessible. If your documents are correctly formatted and the ollama/lama2 integration is properly configured, Quivr should be able to use them for answering questions.
If you've confirmed these settings and are still facing issues, it might be worth reviewing the specific configurations and formats again or exploring further documentation on how Quivr manages document sources and answers questions based on them.
Details
Sources
- .env.example
- backend/modules/brain/rags/new_quivr_rag.py
- backend/modules/brain/rags/quivr_rag.py
- backend/modules/brain/knowledge_brain_qa.py
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The issue is the document weren't correctly embedded because you used Ollama :/
Please delete all data in the tables and start again.
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So can I not use Ollama?
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