kiln_ai.datamodel.rag

 1from typing import TYPE_CHECKING, Union
 2
 3from pydantic import Field, model_validator
 4
 5from kiln_ai.datamodel.basemodel import ID_TYPE, FilenameString, KilnParentedModel
 6from kiln_ai.utils.validation import ToolNameString
 7
 8if TYPE_CHECKING:
 9    from kiln_ai.datamodel.project import Project
10
11
12class RagConfig(KilnParentedModel):
13    name: FilenameString = Field(
14        description="A name to identify this RAG configuration for your own reference.",
15    )
16
17    is_archived: bool = Field(
18        default=False,
19        description="Whether the RAG configuration is archived. Archived RAG configurations are not shown in the UI and are not available for use.",
20    )
21
22    description: str | None = Field(
23        default=None,
24        description="A description of the RAG configuration for you and your team. Will not be used in prompts/training/validation.",
25    )
26
27    tool_name: ToolNameString = Field(
28        description="A name for the model to identify the Search Tool in conversations.",
29    )
30
31    tool_description: str = Field(
32        description="A description of the purpose of the tool. The model will use this description to understand the tool's capabilities.",
33        max_length=128,
34    )
35
36    extractor_config_id: ID_TYPE = Field(
37        description="The ID of the extractor config used to extract the documents.",
38    )
39
40    chunker_config_id: ID_TYPE = Field(
41        description="The ID of the chunker config used to chunk the documents.",
42    )
43
44    embedding_config_id: ID_TYPE = Field(
45        description="The ID of the embedding config used to embed the documents.",
46    )
47
48    vector_store_config_id: ID_TYPE = Field(
49        description="The ID of the vector store config used to store the documents.",
50    )
51
52    tags: list[str] | None = Field(
53        default=None,
54        description="List of document tags to filter by. If None, all documents in the project are used.",
55    )
56
57    # Workaround to return typed parent without importing Project
58    def parent_project(self) -> Union["Project", None]:
59        if self.parent is None or self.parent.__class__.__name__ != "Project":
60            return None
61        return self.parent  # type: ignore
62
63    @model_validator(mode="after")
64    def validate_tags(self):
65        if self.tags is not None:
66            if len(self.tags) == 0:
67                raise ValueError("Tags cannot be an empty list.")
68            for tag in self.tags:
69                if not tag:
70                    raise ValueError("Tags cannot be empty.")
71                if " " in tag:
72                    raise ValueError("Tags cannot contain spaces. Try underscores.")
73
74        if self.tool_name.strip() == "":
75            raise ValueError("Tool name cannot be empty.")
76        if self.tool_description.strip() == "":
77            raise ValueError("Tool description cannot be empty.")
78
79        return self