mirror of https://github.com/microsoft/autogen.git
bf7e4d619c
* Calculate the dimension size based off model chosen. * Added example docstring. * Validated working notebook with sentence models of different dimensions. * Validated removal of model_name working. * Second example uses conn object. * embedding_function no longer directly references .encode * Fixed pre-commit issue. * Use try/except to raise error when shape is not found in embedding function. * Re-ran notebook. * Update autogen/agentchat/contrib/vectordb/pgvectordb.py Co-authored-by: Li Jiang <bnujli@gmail.com> * Update autogen/agentchat/contrib/vectordb/pgvectordb.py Co-authored-by: Li Jiang <bnujli@gmail.com> * Added .encode * Removed example comment. * Fix overwrite doesn't work with existing collection when custom embedding function has different dimension from default one --------- Co-authored-by: Li Jiang <bnujli@gmail.com> |
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| .. | ||
| agentchat | ||
| cache | ||
| coding | ||
| io | ||
| oai | ||
| test_files | ||
| conftest.py | ||
| test_browser_utils.py | ||
| test_code_utils.py | ||
| test_function_utils.py | ||
| test_graph_utils.py | ||
| test_logging.py | ||
| test_notebook.py | ||
| test_pydantic.py | ||
| test_retrieve_utils.py | ||
| test_token_count.py | ||
| twoagent.py | ||