Replaces static vector retrieval with a dynamic SQL-driven engine that builds knowledge graphs during the query phase. It enables precise data extraction from structured databases to augment LLM context without manual graph modeling.
Tech Stack
PythonAI, ML & Data
Why SAG?
• No manual graph building
• High retrieval precision
• Leverages existing SQL data
Limitations
• Early stage project
• Limited documentation
• SQL schema dependency
3/5/2026
Last Update
20
Forks
0
Issues
Apache-2.0
License
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