- Created a new Jupyter notebook for analyzing BEIR dataset with CosQA using Ollama embeddings. - Implemented a custom embedding class to integrate LangChain's OllamaEmbeddings with BEIR. - Added data loading and evaluation logic for the CosQA dataset. - Updated `uv.lock` to remove unnecessary dependencies (`mteb` and `polars`) and incremented revision number. |
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| .. | ||
| agent | ||
| evaluation/embeddings | ||
| ingestion | ||
| tst_elastic_seach.py | ||