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chore: rename project to ragbits
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mhordynski committed Sep 16, 2024
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Showing 82 changed files with 82 additions and 83 deletions.
4 changes: 2 additions & 2 deletions .github/ISSUE_TEMPLATE/01_feature_request.yml
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name: 🚀 Feature Request
description: Submit a proposal/request for a new ragnarok feature.
description: Submit a proposal/request for a new ragbits feature.
title: "feat: "
labels: ["feature"]
body:
- type: markdown
attributes:
value: |
Thanks for contributing to ragnarok!
Thanks for contributing to ragbits!
- type: textarea
id: feature-description
attributes:
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2 changes: 1 addition & 1 deletion .github/ISSUE_TEMPLATE/02_bug_report.yml
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attributes:
label: How can we reproduce it?
description: Please provide a code snippet to reproduce the bug.
placeholder: import ragnarok
placeholder: import ragbits
render: python
- type: textarea
id: logs
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2 changes: 1 addition & 1 deletion README.md
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# Ragnarok
# ragbits

Repository for internal experiment with our upcoming LLM framework.

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from pydantic import BaseModel

from ragnarok_common.llms.litellm import LiteLLM
from ragnarok_common.prompt import Prompt
from ragbits_common.llms.litellm import LiteLLM
from ragbits_common.prompt import Prompt


class LoremPromptInput(BaseModel):
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from pydantic import BaseModel

from ragnarok_common.prompt import Prompt
from ragbits_common.prompt import Prompt


class LoremPromptInput(BaseModel):
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[metadata]
name = ragnarok-common
name = ragbits-common
version = 0.0.1
description = "common utilities for the ragnarok framework"
description = "common utilities for the ragbits framework"
author = deepsense.ai
author_email = [email protected]
license = Other/Proprietary License
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except ImportError:
HAS_LITELLM = False

from ragnarok_common.embeddings.base import Embeddings
from ragnarok_common.embeddings.exceptions import EmbeddingConnectionError, EmbeddingResponseError, EmbeddingStatusError
from ragbits_common.embeddings.base import Embeddings
from ragbits_common.embeddings.exceptions import EmbeddingConnectionError, EmbeddingResponseError, EmbeddingStatusError


class LiteLLMEmbeddings(Embeddings):
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from functools import cached_property
from typing import Generic, Optional, Type, cast, overload

from ragnarok_common.prompt.base import BasePrompt, BasePromptWithParser, OutputT
from ragbits_common.prompt.base import BasePrompt, BasePromptWithParser, OutputT

from .clients.base import LLMClient, LLMClientOptions, LLMOptions

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from pydantic import BaseModel

from ragnarok_common.prompt import ChatFormat
from ragbits_common.prompt import ChatFormat

from ..types import NotGiven

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HAS_LITELLM = False


from ragnarok_common.prompt import ChatFormat
from ragbits_common.prompt import ChatFormat

from ..types import NOT_GIVEN, NotGiven
from .base import LLMClient, LLMOptions
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except ImportError:
HAS_LOCAL_LLM = False

from ragnarok_common.prompt import ChatFormat
from ragbits_common.prompt import ChatFormat

from ..types import NOT_GIVEN, NotGiven
from .base import LLMClient, LLMOptions
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except ImportError:
HAS_LITELLM = False

from ragnarok_common.prompt.base import BasePrompt
from ragbits_common.prompt.base import BasePrompt

from .base import LLM
from .clients.litellm import LiteLLMClient, LiteLLMOptions
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except ImportError:
HAS_LOCAL_LLM = False

from ragnarok_common.prompt.base import BasePrompt
from ragbits_common.prompt.base import BasePrompt

from .base import LLM
from .clients.local import LocalLLMClient, LocalLLMOptions
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3 changes: 3 additions & 0 deletions packages/ragbits-common/src/ragbits_common/prompt/__init__.py
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from ragbits_common.prompt.prompt import ChatFormat, Prompt

__all__ = ["Prompt", "ChatFormat"]
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from pydantic import BaseModel

from ragnarok_common.llms.clients.litellm import LiteLLMOptions
from ragnarok_common.llms.litellm import LiteLLM
from ragnarok_common.prompt import Prompt
from ragnarok_common.prompt.base import BasePrompt, BasePromptWithParser, ChatFormat
from ragbits_common.llms.clients.litellm import LiteLLMOptions
from ragbits_common.llms.litellm import LiteLLM
from ragbits_common.prompt import Prompt
from ragbits_common.prompt.base import BasePrompt, BasePromptWithParser, ChatFormat


class MockPrompt(BasePrompt):
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import pytest

from ragnarok_common.prompt import Prompt
from ragnarok_common.prompt.parsers import ResponseParsingError
from ragbits_common.prompt import Prompt
from ragbits_common.prompt.parsers import ResponseParsingError

from .test_prompt import _PromptOutput

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import pydantic
import pytest

from ragnarok_common.prompt import Prompt
from ragbits_common.prompt import Prompt


class _PromptInput(pydantic.BaseModel):
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[metadata]
name = ragnarok-dev-kit
name = ragbits-dev-kit
version = 0.0.1
description = "dev kit for ragnarok framework"
description = "dev kit for ragbits framework"
author = deepsense.ai
author_email = [email protected]
license = Other/Proprietary License
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import jinja2
import typer
from pydantic import BaseModel
from ragnarok_dev_kit.discovery.prompt_discovery import PromptDiscovery
from ragbits_dev_kit.discovery.prompt_discovery import PromptDiscovery

from ragnarok_common.llms import LiteLLM
from ragnarok_common.llms.clients import LiteLLMOptions
from ragbits_common.llms import LiteLLM
from ragbits_common.llms.clients import LiteLLMOptions


class PromptState:
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from ragbits_dev_kit.discovery.prompt_discovery import PromptDiscovery

__all__ = ["PromptDiscovery"]
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from collections import namedtuple
from typing import Any

from ragnarok_common.prompt import Prompt
from ragbits_common.prompt import Prompt

PromptDetails = namedtuple("PromptDetails", ["system_prompt", "user_prompt", "input_type", "object"])

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from pydantic import BaseModel

from ragnarok_common.prompt import Prompt
from ragbits_common.prompt import Prompt


class PromptForTestInput(BaseModel):
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from pydantic import BaseModel

from ragnarok_common.prompt import Prompt
from ragbits_common.prompt import Prompt


class PromptForTestInputA(BaseModel):
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from pydantic import BaseModel

from ragnarok_common.prompt import Prompt
from ragbits_common.prompt import Prompt


class PromptForTestInputB(BaseModel):
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import sys
from pathlib import Path

from ragnarok_dev_kit.discovery.prompt_discovery import PromptDiscovery
from ragbits_dev_kit.discovery.prompt_discovery import PromptDiscovery


def test_prompt_discovery_from_file():
Expand All @@ -28,7 +28,7 @@ def test_prompt_discovery_from_file():

def test_prompt_discovery_from_package():
sys.path.append(str(Path(__file__).parent))
test_paths = ["ragnarok_tests_pkg_with_prompts"]
test_paths = ["ragbits_tests_pkg_with_prompts"]

discovery_result = PromptDiscovery(test_paths).discover()

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import asyncio

from ragnarok_document_search import DocumentSearch
from ragnarok_document_search.documents.document import DocumentMeta
from ragnarok_document_search.vector_store.in_memory import InMemoryVectorStore
from ragbits_document_search import DocumentSearch
from ragbits_document_search.documents.document import DocumentMeta
from ragbits_document_search.vector_store.in_memory import InMemoryVectorStore

from ragnarok_common.embeddings.litellm import LiteLLMEmbeddings
from ragbits_common.embeddings.litellm import LiteLLMEmbeddings

documents = [
DocumentMeta.create_text_document_from_literal("RIP boiled water. You will be mist."),
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[metadata]
name = ragnarok-document-search
name = ragbits-document-search
# do not change version by hand: use bump_version.sh
version = 0.0.1
description = "The ragstack module responsible for fetching data from unstructured data sources."
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from ragnarok_document_search.documents.document import DocumentMeta
from ragnarok_document_search.documents.element import Element
from ragnarok_document_search.ingestion.document_processor import DocumentProcessor
from ragnarok_document_search.retrieval.rephrasers.base import QueryRephraser
from ragnarok_document_search.retrieval.rephrasers.noop import NoopQueryRephraser
from ragnarok_document_search.retrieval.rerankers.base import Reranker
from ragnarok_document_search.retrieval.rerankers.noop import NoopReranker
from ragnarok_document_search.vector_store.base import VectorStore

from ragnarok_common.embeddings.base import Embeddings
from ragbits_document_search.documents.document import DocumentMeta
from ragbits_document_search.documents.element import Element
from ragbits_document_search.ingestion.document_processor import DocumentProcessor
from ragbits_document_search.retrieval.rephrasers.base import QueryRephraser
from ragbits_document_search.retrieval.rephrasers.noop import NoopQueryRephraser
from ragbits_document_search.retrieval.rerankers.base import Reranker
from ragbits_document_search.retrieval.rerankers.noop import NoopReranker
from ragbits_document_search.vector_store.base import VectorStore

from ragbits_common.embeddings.base import Embeddings


class DocumentSearch:
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from typing import Union

from pydantic import BaseModel, Field
from ragnarok_document_search.documents.sources import LocalFileSource
from ragbits_document_search.documents.sources import LocalFileSource


class DocumentType(str, Enum):
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from typing import ClassVar

from pydantic import BaseModel
from ragnarok_document_search.documents.document import DocumentMeta
from ragnarok_document_search.vector_store.base import VectorDBEntry
from ragbits_document_search.documents.document import DocumentMeta
from ragbits_document_search.vector_store.base import VectorDBEntry


class Element(BaseModel, ABC):
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from typing import List

from ragnarok_document_search.documents.document import DocumentMeta, TextDocument
from ragnarok_document_search.documents.element import Element, TextElement
from ragbits_document_search.documents.document import DocumentMeta, TextDocument
from ragbits_document_search.documents.element import Element, TextElement


class DocumentProcessor:
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from ragnarok_document_search.retrieval.rephrasers.base import QueryRephraser
from ragbits_document_search.retrieval.rephrasers.base import QueryRephraser


class NoopQueryRephraser(QueryRephraser):
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import abc

from ragnarok_document_search.documents.element import Element
from ragbits_document_search.documents.element import Element


class Reranker(abc.ABC):
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from typing import List

from ragnarok_document_search.documents.element import Element
from ragnarok_document_search.retrieval.rerankers.base import Reranker
from ragbits_document_search.documents.element import Element
from ragbits_document_search.retrieval.rerankers.base import Reranker


class NoopReranker(Reranker):
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import numpy as np
from ragnarok_document_search.vector_store.base import VectorDBEntry, VectorStore
from ragbits_document_search.vector_store.base import VectorDBEntry, VectorStore


class InMemoryVectorStore(VectorStore):
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from unittest.mock import AsyncMock

from ragnarok_document_search import DocumentSearch
from ragnarok_document_search.documents.document import DocumentMeta
from ragnarok_document_search.documents.element import TextElement
from ragnarok_document_search.vector_store.in_memory import InMemoryVectorStore
from ragbits_document_search import DocumentSearch
from ragbits_document_search.documents.document import DocumentMeta
from ragbits_document_search.documents.element import TextElement
from ragbits_document_search.vector_store.in_memory import InMemoryVectorStore


async def test_document_search():
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import tempfile
from pathlib import Path

from ragnarok_document_search.documents.document import DocumentMeta, DocumentType, TextDocument
from ragnarok_document_search.documents.sources import LocalFileSource
from ragbits_document_search.documents.document import DocumentMeta, DocumentType, TextDocument
from ragbits_document_search.documents.sources import LocalFileSource


async def test_loading_local_file_source():
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from ragnarok_document_search.documents.document import DocumentType
from ragnarok_document_search.documents.element import Element
from ragnarok_document_search.vector_store.base import VectorDBEntry
from ragbits_document_search.documents.document import DocumentType
from ragbits_document_search.documents.element import Element
from ragbits_document_search.vector_store.base import VectorDBEntry


def test_resolving_element_type():
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from pathlib import Path

from ragnarok_document_search.documents.document import DocumentMeta, DocumentType
from ragnarok_document_search.documents.element import TextElement
from ragnarok_document_search.documents.sources import LocalFileSource
from ragnarok_document_search.vector_store.in_memory import InMemoryVectorStore
from ragbits_document_search.documents.document import DocumentMeta, DocumentType
from ragbits_document_search.documents.element import TextElement
from ragbits_document_search.documents.sources import LocalFileSource
from ragbits_document_search.vector_store.in_memory import InMemoryVectorStore


async def test_simple_vector_store():
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