Refactor workflow to integrate ChatGoogleGenerativeAI and update vectorstore embeddings
Browse files- Replaced init_chat_model with ChatGoogleGenerativeAI for main, fallback, and title generator models in llms.py.ChatGoogleGenerativeAI instantiation.
- Updated output_formatter_model to include GROQ_API_KEY.
- Modified search_vectorstore docstring to clarify default limit value.
- api/routers/memory.py +2 -0
- db/crud/chat.py +1 -1
- db/models/chat.py +1 -1
- db/models/message.py +6 -7
- pyproject.toml +3 -3
- uv.lock +266 -112
- workflow/llms.py +7 -4
- workflow/tools.py +2 -2
- workflow/vectorstore.py +3 -1
api/routers/memory.py
CHANGED
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@@ -10,6 +10,7 @@ from workflow.memory_client import memory_client
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router = APIRouter()
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@router.get(
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response_model=memory_schemas.GetAllMemoriesResponse,
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summary="Get all memories for a user"
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)
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@@ -53,6 +54,7 @@ async def delete_single_memory(
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raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=f"Failed to delete memory: {e}")
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@router.delete(
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response_model=memory_schemas.DeleteAllUserMemoriesResponse,
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status_code=status.HTTP_200_OK,
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summary="Delete all memories for a user"
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router = APIRouter()
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@router.get(
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+
"/",
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response_model=memory_schemas.GetAllMemoriesResponse,
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summary="Get all memories for a user"
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)
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raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=f"Failed to delete memory: {e}")
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@router.delete(
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+
"/",
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response_model=memory_schemas.DeleteAllUserMemoriesResponse,
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status_code=status.HTTP_200_OK,
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summary="Delete all memories for a user"
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db/crud/chat.py
CHANGED
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@@ -1,6 +1,6 @@
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import uuid
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from datetime import datetime, timezone
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-
from typing import
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from sqlmodel import Session, select
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from db.models.chat import Chat
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import uuid
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from datetime import datetime, timezone
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+
from typing import Optional
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from sqlmodel import Session, select
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from db.models.chat import Chat
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db/models/chat.py
CHANGED
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@@ -1,7 +1,7 @@
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import uuid
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from datetime import datetime
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from sqlmodel import Field, Relationship, SQLModel
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-
from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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from .message import Message
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import uuid
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from datetime import datetime
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from sqlmodel import Field, Relationship, SQLModel
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+
from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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from .message import Message
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db/models/message.py
CHANGED
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@@ -1,25 +1,24 @@
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import uuid
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from datetime import datetime
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-
from typing import Optional,
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-
from sqlmodel import Field, Relationship, SQLModel, JSON
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if TYPE_CHECKING:
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from .chat import Chat
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-
MessageRole = Literal["user", "assistant", "tool"]
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-
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class Message(SQLModel, table=True):
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id: uuid.UUID = Field(default_factory=uuid.uuid4, primary_key=True)
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chat_id: uuid.UUID = Field(foreign_key="chat.id", index=True)
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-
role:
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# Stores the RAW, full text content.
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# e.g., "The answer is... Links: [http://...]"
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-
content: Optional[str] = Field(default=None,
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# Stores the CLEAN, parsed answer for display on the frontend.
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# Populated only for the final AI message of a turn.
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-
answer: Optional[str] = Field(default=None,
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# Stores the parsed source links for the frontend.
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links: Optional[list[str]] = Field(default=None, sa_column=Column(JSON))
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import uuid
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from datetime import datetime
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+
from typing import Optional, Any, TYPE_CHECKING
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+
from sqlmodel import Field, Relationship, SQLModel, JSON
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+
from sqlalchemy import Column, Text
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if TYPE_CHECKING:
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from .chat import Chat
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class Message(SQLModel, table=True):
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id: uuid.UUID = Field(default_factory=uuid.uuid4, primary_key=True)
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chat_id: uuid.UUID = Field(foreign_key="chat.id", index=True)
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+
role: str = Field(nullable=False)
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# Stores the RAW, full text content.
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# e.g., "The answer is... Links: [http://...]"
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+
content: Optional[str] = Field(default=None, sa_column=Column(Text))
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# Stores the CLEAN, parsed answer for display on the frontend.
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# Populated only for the final AI message of a turn.
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+
answer: Optional[str] = Field(default=None, sa_column=Column(Text))
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# Stores the parsed source links for the frontend.
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links: Optional[list[str]] = Field(default=None, sa_column=Column(JSON))
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pyproject.toml
CHANGED
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@@ -5,7 +5,6 @@ description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.11"
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dependencies = [
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-
"falkordb>=1.2.0",
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"fastapi>=0.115.14",
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"ipykernel>=6.29.5",
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"langchain>=0.3.26",
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@@ -15,11 +14,12 @@ dependencies = [
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"langchain-pinecone>=0.2.8",
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"langgraph>=0.5.0",
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"mem0ai>=0.1.114",
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-
"neo4j>=5.28.1",
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-
"pandas>=2.3.0",
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"pinecone>=7.3.0",
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"pydantic-settings>=2.10.1",
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"python-dotenv>=1.1.1",
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"python-jose>=3.5.0",
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"sqlmodel>=0.0.24",
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]
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readme = "README.md"
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requires-python = ">=3.11"
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dependencies = [
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"fastapi>=0.115.14",
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"ipykernel>=6.29.5",
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"langchain>=0.3.26",
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"langchain-pinecone>=0.2.8",
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"langgraph>=0.5.0",
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"mem0ai>=0.1.114",
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"pinecone>=7.3.0",
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+
"psycopg2-binary>=2.9.10",
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"pydantic-settings>=2.10.1",
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| 20 |
"python-dotenv>=1.1.1",
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"python-jose>=3.5.0",
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"sqlmodel>=0.0.24",
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| 23 |
+
"uvicorn[standard]>=0.35.0",
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+
"websockets>=15.0.1",
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]
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uv.lock
CHANGED
|
@@ -151,15 +151,6 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/25/8a/c46dcc25341b5bce5472c718902eb3d38600a903b14fa6aeecef3f21a46f/asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2", size = 26918 },
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]
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-
[[package]]
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-
name = "async-timeout"
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-
version = "5.0.1"
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-
source = { registry = "https://pypi.org/simple" }
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sdist = { url = "https://files.pythonhosted.org/packages/a5/ae/136395dfbfe00dfc94da3f3e136d0b13f394cba8f4841120e34226265780/async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3", size = 9274 }
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| 159 |
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/fe/ba/e2081de779ca30d473f21f5b30e0e737c438205440784c7dfc81efc2b029/async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c", size = 6233 },
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-
]
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-
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[[package]]
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name = "attrs"
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version = "25.3.0"
|
|
@@ -289,6 +280,18 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/20/94/c5790835a017658cbfabd07f3bfb549140c3ac458cfc196323996b10095a/charset_normalizer-3.4.2-py3-none-any.whl", hash = "sha256:7f56930ab0abd1c45cd15be65cc741c28b1c9a34876ce8c17a2fa107810c0af0", size = 52626 },
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[[package]]
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name = "colorama"
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version = "0.4.6"
|
|
@@ -383,19 +386,6 @@ wheels = [
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| 383 |
{ url = "https://files.pythonhosted.org/packages/7b/8f/c4d9bafc34ad7ad5d8dc16dd1347ee0e507a52c3adb6bfa8887e1c6a26ba/executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa", size = 26702 },
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]
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[[package]]
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name = "falkordb"
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version = "1.2.0"
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source = { registry = "https://pypi.org/simple" }
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dependencies = [
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{ name = "python-dateutil" },
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{ name = "redis" },
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-
]
|
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sdist = { url = "https://files.pythonhosted.org/packages/9e/3b/2d846e877aec104841c523e99e1c584d4aa2423a0e31afee5b8369e3c8c5/falkordb-1.2.0.tar.gz", hash = "sha256:ce57365b86722d538e75aa5d438de67ecd8eb9478da612506d9812cd7f182d0b", size = 28976 }
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| 395 |
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wheels = [
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| 396 |
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{ url = "https://files.pythonhosted.org/packages/39/81/1265e623c989bb8c12fe566645bad390d04e66fa62b84ca656e5bafce1f0/falkordb-1.2.0-py3-none-any.whl", hash = "sha256:7572d9cc377735d22efc52fe6fe73c7a435422c827b6ea3ca223a850a77be12e", size = 34737 },
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|
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[[package]]
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name = "fastapi"
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version = "0.115.14"
|
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@@ -714,6 +704,35 @@ wheels = [
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| 714 |
{ url = "https://files.pythonhosted.org/packages/7e/f5/f66802a942d491edb555dd61e3a9961140fd64c90bce1eafd741609d334d/httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55", size = 78784 },
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[[package]]
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name = "httpx"
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version = "0.28.1"
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|
@@ -1181,7 +1200,6 @@ name = "makhfi-ai"
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version = "0.1.0"
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| 1182 |
source = { virtual = "." }
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dependencies = [
|
| 1184 |
-
{ name = "falkordb" },
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{ name = "fastapi" },
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{ name = "ipykernel" },
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{ name = "langchain" },
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@@ -1191,18 +1209,18 @@ dependencies = [
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{ name = "langchain-pinecone" },
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{ name = "langgraph" },
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| 1193 |
{ name = "mem0ai" },
|
| 1194 |
-
{ name = "neo4j" },
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-
{ name = "pandas" },
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{ name = "pinecone" },
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{ name = "pydantic-settings" },
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{ name = "python-dotenv" },
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{ name = "python-jose" },
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{ name = "sqlmodel" },
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]
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[package.metadata]
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requires-dist = [
|
| 1205 |
-
{ name = "falkordb", specifier = ">=1.2.0" },
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| 1206 |
{ name = "fastapi", specifier = ">=0.115.14" },
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| 1207 |
{ name = "ipykernel", specifier = ">=6.29.5" },
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| 1208 |
{ name = "langchain", specifier = ">=0.3.26" },
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@@ -1212,13 +1230,14 @@ requires-dist = [
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| 1212 |
{ name = "langchain-pinecone", specifier = ">=0.2.8" },
|
| 1213 |
{ name = "langgraph", specifier = ">=0.5.0" },
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| 1214 |
{ name = "mem0ai", specifier = ">=0.1.114" },
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| 1215 |
-
{ name = "neo4j", specifier = ">=5.28.1" },
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| 1216 |
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{ name = "pandas", specifier = ">=2.3.0" },
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| 1217 |
{ name = "pinecone", specifier = ">=7.3.0" },
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|
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| 1218 |
{ name = "pydantic-settings", specifier = ">=2.10.1" },
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| 1219 |
{ name = "python-dotenv", specifier = ">=1.1.1" },
|
| 1220 |
{ name = "python-jose", specifier = ">=3.5.0" },
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{ name = "sqlmodel", specifier = ">=0.0.24" },
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]
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[[package]]
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@@ -1373,18 +1392,6 @@ wheels = [
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| 1373 |
{ url = "https://files.pythonhosted.org/packages/79/7b/2c79738432f5c924bef5071f933bcc9efd0473bac3b4aa584a6f7c1c8df8/mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505", size = 4963 },
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| 1375 |
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| 1376 |
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| 1377 |
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name = "neo4j"
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| 1378 |
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| 1379 |
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| 1382 |
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name = "nest-asyncio"
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@@ -1565,47 +1572,6 @@ wheels = [
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| 1565 |
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| 2815 |
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|
| 2816 |
+
|
| 2817 |
[[package]]
|
| 2818 |
name = "wrapt"
|
| 2819 |
version = "1.17.2"
|
workflow/llms.py
CHANGED
|
@@ -1,20 +1,23 @@
|
|
| 1 |
from langchain.chat_models import init_chat_model
|
| 2 |
from langchain_groq import ChatGroq
|
|
|
|
|
|
|
| 3 |
|
| 4 |
from core.config import get_settings
|
| 5 |
|
| 6 |
settings = get_settings()
|
| 7 |
|
| 8 |
main_model = (
|
| 9 |
-
|
| 10 |
.with_fallbacks([
|
| 11 |
-
|
| 12 |
])
|
| 13 |
)
|
| 14 |
|
| 15 |
output_formatter_model = ChatGroq(
|
| 16 |
-
model=settings.OUTPUT_FORMATTER_MODEL,
|
|
|
|
| 17 |
temperature=0
|
| 18 |
)
|
| 19 |
|
| 20 |
-
title_generator_model =
|
|
|
|
| 1 |
from langchain.chat_models import init_chat_model
|
| 2 |
from langchain_groq import ChatGroq
|
| 3 |
+
from langchain_google_genai import ChatGoogleGenerativeAI
|
| 4 |
+
|
| 5 |
|
| 6 |
from core.config import get_settings
|
| 7 |
|
| 8 |
settings = get_settings()
|
| 9 |
|
| 10 |
main_model = (
|
| 11 |
+
ChatGoogleGenerativeAI(model=settings.DEFAULT_MODEL, google_api_key=settings.GOOGLE_API_KEY)
|
| 12 |
.with_fallbacks([
|
| 13 |
+
ChatGoogleGenerativeAI(model=settings.FALLBACK_MODEL, google_api_key=settings.GOOGLE_API_KEY),
|
| 14 |
])
|
| 15 |
)
|
| 16 |
|
| 17 |
output_formatter_model = ChatGroq(
|
| 18 |
+
model=settings.OUTPUT_FORMATTER_MODEL,
|
| 19 |
+
api_key=settings.GROQ_API_KEY,
|
| 20 |
temperature=0
|
| 21 |
)
|
| 22 |
|
| 23 |
+
title_generator_model = ChatGoogleGenerativeAI(model=settings.TITLE_GENERATOR_MODEL, google_api_key=settings.GOOGLE_API_KEY, temperature=0.2)
|
workflow/tools.py
CHANGED
|
@@ -15,11 +15,11 @@ def search_vectorstore(
|
|
| 15 |
limit: int = settings.TOP_K,
|
| 16 |
link: str = None,
|
| 17 |
) -> str:
|
| 18 |
-
|
| 19 |
Searches the vectorstore for relevant documents.
|
| 20 |
Args:
|
| 21 |
query (str): A detailed, descriptive query in **English language**.
|
| 22 |
-
limit (int, optional): Number of Documents to retrieve. It should be between 2-8. Defaults to
|
| 23 |
link (str, optional): A document-specific link used to filter results
|
| 24 |
to only include results from that source video. e.g. https://youtu.be/I-QWB9z0l9k?si=XgxcKklmE_cNGneD
|
| 25 |
|
|
|
|
| 15 |
limit: int = settings.TOP_K,
|
| 16 |
link: str = None,
|
| 17 |
) -> str:
|
| 18 |
+
"""
|
| 19 |
Searches the vectorstore for relevant documents.
|
| 20 |
Args:
|
| 21 |
query (str): A detailed, descriptive query in **English language**.
|
| 22 |
+
limit (int, optional): Number of Documents to retrieve. It should be between 2-8. Defaults to 4.
|
| 23 |
link (str, optional): A document-specific link used to filter results
|
| 24 |
to only include results from that source video. e.g. https://youtu.be/I-QWB9z0l9k?si=XgxcKklmE_cNGneD
|
| 25 |
|
workflow/vectorstore.py
CHANGED
|
@@ -8,7 +8,9 @@ settings = get_settings()
|
|
| 8 |
|
| 9 |
index_name = settings.INDEX_NAME
|
| 10 |
namespace = settings.NAMESPACE
|
| 11 |
-
embeddings = GoogleGenerativeAIEmbeddings(
|
|
|
|
|
|
|
| 12 |
|
| 13 |
pc = Pinecone(api_key=settings.PINECONE_API_KEY)
|
| 14 |
index = pc.Index(index_name)
|
|
|
|
| 8 |
|
| 9 |
index_name = settings.INDEX_NAME
|
| 10 |
namespace = settings.NAMESPACE
|
| 11 |
+
embeddings = GoogleGenerativeAIEmbeddings(
|
| 12 |
+
model=f"models/{settings.EMBEDDINGS_MODEL}", google_api_key=settings.GOOGLE_API_KEY
|
| 13 |
+
)
|
| 14 |
|
| 15 |
pc = Pinecone(api_key=settings.PINECONE_API_KEY)
|
| 16 |
index = pc.Index(index_name)
|