index_embeddings
Convert stored Telegram messages into vector chunks, enabling semantic search across group chats.
Instructions
Index cached Telegram messages into vector chunks for semantic search.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| chat | No | Chat ID, @username, or omitted for TELEGRAM_DEFAULT_CHAT_ID. | |
| rebuild | No | Delete existing chunks for the configured model/dimensions before indexing. | |
| limit_chunks | No | Chunks to embed in this run. | |
| after_message_id | No | Start indexing messages after this ID. |