1d6a5eedd8be3e13b13bd7157409585d8713a0d2
feat: Add OpenAPI configuration for API documentation with security scheme feat: Create KnowledgeTreeController for file and video uploads with enhanced metadata handling feat: Define DTOs for agent search requests and responses, including metadata filtering feat: Implement DeleteDocumentResponse DTO for document deletion responses feat: Create KnowledgeSystemNode DTO for representing knowledge tree structure chore: Add startup script for ChromaDB instance with Docker integration
#Vector search index In a non dedicated istance the vectorSearch index must be created manually from Mongo Atlas interface.
Create a new Search index called vector_index wit following definition
{ "fields": [ { "numDimensions": 1536, "path": "embedding", "similarity": "cosine", "type": "vector" }, { "path": "metadata.KsApplicatioName", "type": "filter" }, { "path": "metadata.KsDoSource", "type": "filter" }, { "path": "metadata.Source", "type": "filter" }, { "path": "metadata.KsDoctype", "type": "filter" } ] }
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