Comments (1)
xhluca
commented on September 2, 2024
Would proably make sense to have a Tokenizer class at this point to allow for generator/streaming. I.e.:
class Tokenizer:
def __init__(self):
self.vocab_dict = {}
def __call__(self, texts, stream=False):
for text in texts:
# ...
# update self.vocab_dict
if stream is True:
yield text_tokens
else:
tokens.append(text_tokens) THis would allow it to be very memory efficient.
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Related Issues (15)
- Minor bug: `show_progress` not propagated in `BM25.index` HOT 1
- Not Working for langchain Documents
- [Feature Request] Support attaching metadata to the corpus HOT 3
- how to dynamic add/delete documents
- Can you query without a tokenization step?
- 可以增量更新索引吗？
- 🚨Before submitting an issue, read this 🚨
- Other language than english for the stopwords list HOT 2
- How to apply bm25s to languages such as Chinese?
- Order-based matching of corpus metadata to to tokens HOT 2
- Updating an index for batch indexing HOT 14
- Using with postgres? HOT 3
- Capability Inquiry: Retrieving Specific JSON Records Based on Text HOT 4
- Pre-computed TF-IDF
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