Use RAG LLM Trick to Support Known Translations

[bshikin]

Using known_translations/{target_engine}.yaml with a collection of known correct translations.

Use chromadb as a vector DB for embeddings of known translations. Lookup closest translations and add them into the translation context on each query.

Example configuration:

known_translations:
  target_engine: godot
  embedding_function: krlvi/sentence-t5-base-nlpl-code_search_net
  result_count: 5
  user_request: |
    Remember this correct translation from Unity: 
    ```
    ${SOURCE}
    ```
    is translated as:
    ```
    ${TARGET}
    ```
  assistant_response: Certainly! I will remember this translation.

Where example content of the known translations file is:

translations:
  - title: Ternary Operators
    source: |
      variable = {condition} ? (true_statement) : (false_statement);
    target: |
      variable = {translated_true_statement} if {translated_condition} else "{translated_false_statement}
  # ---------------------------------------------------------------------------------------------------------------------
  - title: Start() Function
    source: |
      private void Start()
      {
        {function_body}
      }

    target: |
      func _ready() -> void:
      {
        {translated_function_body}
      }
  # ---------------------------------------------------------------------------------------------------------------------