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README.md
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## Encoding and querying documents without an index
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If you want to use JaColBERTv2 without building an index, it's very simple, you just need to load the model, `encode()` some documents, and then `
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```python
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from ragatouille import RAGPretrainedModel
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RAG = RAGPretrainedModel.from_pretrained("bclavie/JaColBERTv2")
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RAG.encode(['document_1', 'document_2', ...])
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RAG.
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```
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Subsequent calls to `encode()` will add to the existing in-memory collection. If you want to empty it, simply run `RAG.clear_encoded_docs()`.
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## Encoding and querying documents without an index
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If you want to use JaColBERTv2 without building an index, it's very simple, you just need to load the model, `encode()` some documents, and then `search_encoded_docs()`:
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```python
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from ragatouille import RAGPretrainedModel
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RAG = RAGPretrainedModel.from_pretrained("bclavie/JaColBERTv2")
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RAG.encode(['document_1', 'document_2', ...])
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RAG.search_encoded_docs(query="your search query")
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```
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Subsequent calls to `encode()` will add to the existing in-memory collection. If you want to empty it, simply run `RAG.clear_encoded_docs()`.
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