This website requires JavaScript.
Explore
Help
Sign In
element.chen
/
ai-g3sb-backman2.0
Watch
1
Star
0
Fork
0
Code
Pull Requests
Activity
Files
85ad31348eabab8a12acd0fb44fb3529dea67755
ai-g3sb-backman2.0
/
data
T
History
陈辅元
85ad31348e
Implement follow-up detection in dialog context to prevent context pollution in multi-topic conversations. Introduce
is_likely_follow_up
function to determine when to inject session history based on user input. Adjust
_load_session_text2sql_context
to conditionally include context based on follow-up status, enhancing SQL generation accuracy. Update relevant API endpoints to pass user text for improved context handling.
2026-04-15 17:33:07 +08:00
..
embeddings
Implement follow-up detection in dialog context to prevent context pollution in multi-topic conversations. Introduce
is_likely_follow_up
function to determine when to inject session history based on user input. Adjust
_load_session_text2sql_context
to conditionally include context based on follow-up status, enhancing SQL generation accuracy. Update relevant API endpoints to pass user text for improved context handling.
2026-04-15 17:33:07 +08:00
Example
first commit
2026-04-10 16:52:07 +08:00
experiences
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
schemas
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00