Sem Labs is a Data Dev Tool for scanning databases and generating semantic layers for facilitating Ai communications with databases within minutes.
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24
commits
fix: update fetch_schemas_and_tables docstring to reflect dictionary return datatype
fdbd760View on GitHubfeat(engine): add metadata discovery and query history discovery functions
85340a9View on GitHubfeat(engine): implement thread-safe Snowflake connection validation
6a1139eView on GitHubchore(engine): initialize Snowflake client with security guardrails
f532702View on GitHubfix: include logout endpoint missed in last commit due to unsaved files
3bc8431View on GitHubfeat(auth): implement core session lifecycle with enumeration defense
63aec54View on GitHubfeat(security): implement MVP secret vault for connection credentials
64e4da9View on GitHubfeat(security): harden auth dependency against database outages
f7dada5View on GitHubfeat(security): implement JWT-based authentication and password hashing
1a855b2View on GitHubfix(schemas): update helper functions to start with an underscore
55a0925View on GitHubfeat(scans): add comprehensive scan config and response schemas
989075bView on GitHubfeat(schemas): add Connection schemas and secure Snowflake credentials with SecretStr and whitespace stripping
0efce10View on GitHubfeat(schemas): implement project validation and response models
e17f2a5View on GitHubfix: include auth schemas missed in last commit due to unsaved files
7548f63View on GitHub