initial prompt of store-py

store-py/notes.md

@@ -1,3 +1,6 @@
+
+<<
+using python, create a new project that will utilize a vector store database to create interlinked vector space knowledge graph as a "memory" function. It will be used by a realtime LLM to store and retrieve knowledge>>
 #Environment Setup
 cd vector_knowledge_graph
 python -m venv venv
@@ -9,7 +12,7 @@ pip install fastapi uvicorn openai psycopg2-binary sqlalchemy
 CREATE EXTENSION vector;
 CREATE TABLE knowledge (
     id SERIAL PRIMARY KEY,
-    embedding vector(512) NOT NULL, -- assuming 512 dimensions for embeddings
+    embedding vector(1536) NOT NULL, -- assuming 512 dimensions for embeddings; openai uses 1536
     metadata JSONB
 );
 CREATE INDEX ON knowledge USING ivfflat (embedding);