docs: provider and distro codegen migration (#3531)

# What does this PR do?

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- Updates provider and distro codegen to handle the new format
- Migrates provider and distro files to the new format

## Test Plan

- Manual testing

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docs/docs/providers/vector_io/inline_chromadb.mdx

@@ -0,0 +1,91 @@
+---
+description: |
+  [Chroma](https://www.trychroma.com/) is an inline and remote vector
+  database provider for Llama Stack. It allows you to store and query vectors directly within a Chroma database.
+  That means you're not limited to storing vectors in memory or in a separate service.
+
+  ## Features
+  Chroma supports:
+  - Store embeddings and their metadata
+  - Vector search
+  - Full-text search
+  - Document storage
+  - Metadata filtering
+  - Multi-modal retrieval
+
+  ## Usage
+
+  To use Chrome in your Llama Stack project, follow these steps:
+
+  1. Install the necessary dependencies.
+  2. Configure your Llama Stack project to use chroma.
+  3. Start storing and querying vectors.
+
+  ## Installation
+
+  You can install chroma using pip:
+
+  ```bash
+  pip install chromadb
+  ```
+
+  ## Documentation
+  See [Chroma's documentation](https://docs.trychroma.com/docs/overview/introduction) for more details about Chroma in general.
+sidebar_label: Chromadb
+title: inline::chromadb
+---
+
+# inline::chromadb
+
+## Description
+
+
+[Chroma](https://www.trychroma.com/) is an inline and remote vector
+database provider for Llama Stack. It allows you to store and query vectors directly within a Chroma database.
+That means you're not limited to storing vectors in memory or in a separate service.
+
+## Features
+Chroma supports:
+- Store embeddings and their metadata
+- Vector search
+- Full-text search
+- Document storage
+- Metadata filtering
+- Multi-modal retrieval
+
+## Usage
+
+To use Chrome in your Llama Stack project, follow these steps:
+
+1. Install the necessary dependencies.
+2. Configure your Llama Stack project to use chroma.
+3. Start storing and querying vectors.
+
+## Installation
+
+You can install chroma using pip:
+
+```bash
+pip install chromadb
+```
+
+## Documentation
+See [Chroma's documentation](https://docs.trychroma.com/docs/overview/introduction) for more details about Chroma in general.
+
+
+
+## Configuration
+
+| Field | Type | Required | Default | Description |
+|-------|------|----------|---------|-------------|
+| `db_path` | `<class 'str'>` | No |  |  |
+| `kvstore` | `utils.kvstore.config.RedisKVStoreConfig \| utils.kvstore.config.SqliteKVStoreConfig \| utils.kvstore.config.PostgresKVStoreConfig \| utils.kvstore.config.MongoDBKVStoreConfig` | No | sqlite | Config for KV store backend |
+
+## Sample Configuration
+
+```yaml
+db_path: ${env.CHROMADB_PATH}
+kvstore:
+  type: sqlite
+  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/dummy}/chroma_inline_registry.db
+```