Francisco Ingham
Francisco Ingham
The agents usually benefit from understanding what the data looks like to be able to filter effectively. Sending just one row in the table info allows the agent to understand...
What to filter when using a vector store is highly dependent on the query. Different queries will require different filters. As an example, if we have an index of texts...
The agents usually benefit from understanding what the data looks like to be able to filter effectively. Sending just one row in the table info allows the agent to understand...
Currently the chain is getting the column names and types on the one side and the example rows on the other. It is easier for the llm to read the...
This approach has several advantages: * it improves the readability of the code * removes incompatibilities between SQL dialects * fixes a bug with `datetime` values in rows and `ast.literal_eval`...
It is useful to be able to specify `verbose` or `memory` while still keeping the chain's overall structure.
I have found that when the user has not asked an explicit question the agent might have trouble answering the latest comment and might instead try to answer a question...
I think that the 'Person' line should be under 'Last line of conversation' as is the case in the other examples in the kg prompt