# Embedding Function Schemas

This directory contains JSON schemas for all embedding functions in Chroma. The purpose of having these schemas is to support cross-language compatibility and to validate that changes in one client library do not accidentally diverge from others.

## Schema Structure

Each schema follows the JSON Schema Draft-07 specification and includes:

- `version`: The version of the schema
- `title`: The title of the schema
- `description`: A description of the schema
- `properties`: The properties that can be configured for the embedding function
- `required`: The properties that are required for the embedding function
- `additionalProperties`: Whether additional properties are allowed (always set to `false` to ensure strict validation)

## Usage

These schemas are used by both the Python and JavaScript clients to validate embedding function configurations.

### Python

```python
from chromadb.utils.embedding_functions.schemas import validate_config

# Validate a configuration
config = {
    "api_key_env_var": "CHROMA_OPENAI_API_KEY",
    "model_name": "text-embedding-ada-002"
}
validate_config(config, "openai")
```

### JavaScript

```typescript
import { validateConfig } from '@chromadb/core';

// Validate a configuration
const config = {
    api_key_env_var: "CHROMA_OPENAI_API_KEY",
    model_name: "text-embedding-ada-002"
};
validateConfig(config, "openai");
```

## Adding New Schemas

To add a new schema:

1. Create a new JSON file in this directory with the name of the embedding function (e.g., `new_function.json`)
2. Define the schema following the JSON Schema Draft-07 specification
3. Update the embedding function implementations in both Python and JavaScript to use the schema for validation

## Schema Versioning

Each schema includes a version number to support future changes to embedding function configurations. When making changes to a schema, increment the version number to ensure backward compatibility.