aidb
aidb copied to clipboard
ddkang
Resolves issue #54. I assume the problem appears when there are floating point errors during serialization, so I added a function to check the subset relation with floating error tolerance.
Added a function to delete all the data in the cache table. Trying to resolve issue #122.
Check the limit result is a subset of the full result, current check may not work for floating point numbers due to weird serialization issues.
The problem in issue #104 seems to be caused by having NaN in the dataframe, which is not possible to transformed into json. By replacing the NaN in the dataframe...
might be a better idea to auto pip install (run pip install in python) instead of creating multiple requirements.txt close #123
**Author**: [Aakash Thatte](https://github.com/sky-2002) **Description**: Adds [marqo](https://github.com/marqo-ai/marqo) tensor search as an option in vector DBs (like chrome, faiss, weaviate that already exist). **Note**: To test this new integration, I have relied...
https://github.com/ddkang/aidb/blob/bef78d2339b0f6f654467f58651f80a21ae1f2da/aidb/engine/approx_aggregate_join_engine.py#L215-L218 The program utilizes a column name as a key since the dataframe retrieved from the database use this column name instead of the format {table}.{column}. Consequently, when two dataframes...
We have many validity checks for different queries. It's better to put them together and check the validity first.