CODITECT MEMORY-CONTEXT ChromaDB Setup

Configures ChromaDB for vector storage and semantic search. Creates collections for sessions and patterns with embeddings.

Usage: python3 scripts/core/chromadb_setup.py [--reset] [--verbose]

Options: --reset Delete existing collections before creating --verbose Show detailed progress

Dependencies: pip install chromadb sentence-transformers

Author: AZ1.AI CODITECT Team Sprint: Sprint +1 - MEMORY-CONTEXT Implementation Day 3 Date: 2025-11-16

File: chromadb_setup.py

Classes

`ChromaDBSetup`

Setup ChromaDB for CODITECT MEMORY-CONTEXT.

Functions

`main()`

Main entry point.

`get_client()`

Create ChromaDB client.

`create_sessions_collection(client, reset)`

Create collection for session embeddings.

`create_patterns_collection(client, reset)`

Create collection for pattern embeddings.

`add_sample_embeddings(sessions_collection, patterns_collection)`

Add sample embeddings for testing.

`test_similarity_search(sessions_collection, patterns_collection)`

Test similarity search functionality.

`get_collection_stats(client)`

Get statistics for all collections.

`setup(reset, add_samples)`

Setup ChromaDB collections.

Usage

python chromadb_setup.py

Classes​

ChromaDBSetup​

Functions​

main()​

get_client()​

create_sessions_collection(client, reset)​

create_patterns_collection(client, reset)​

add_sample_embeddings(sessions_collection, patterns_collection)​

test_similarity_search(sessions_collection, patterns_collection)​

get_collection_stats(client)​

setup(reset, add_samples)​

Usage​