Releases: whyhow-ai/knowledge-table
v0.1.6
##Frontend
###Added
Added the resolved entities modal to view the full answer with resolved entities
Added a rules panel to the UI to view current entity resolution rules
Can undo rules in the UI
###Changed
Allow query without source data if mention is present
Added resolve entity rule
##Backend
###Added
Added support for queries without source data in vector database
Graceful failure of triple export when no chunks are found
Tested Qdrant vector database service
Added resolve entity rule
###Changed
Separated embedding service from LLM service
v0.1.5
Added
-
Updating backend to work with new UI
-
UI: Global rules
-
UI: Reactgrid integration
-
UI: "Replace" rule
-
UI: Multi-table support
-
Changed
-
Updating backend to work with new UI
-
Tweaked query output for separating answers and chunks
-
Support for Qdrant vector database.
-
Updated Milvus reference in the factory to be more robust to other Milvus datastores
Improved
- Updating testing to Mock OpenAI client and embeddings
v0.1.4
v0.1.3
Changed
- Restructured project directory for improved organization and scalability
- Moved router files to new
api/v1/endpointsdirectory - Created new
coredirectory for fundamental application components - Updated llm operations to new services in
services/llm - Updated vector database operations to new services in
services/vector_db
Improved
- Separated configuration from dependency injection for better maintainability and clarity
- Created new
utilsdirectory for fundamental application components - Seperated Pydantic models into
modelsandschemasdirectories