Brain#
The brain is the essential component of Quivr that stores and processes the knowledge you want to retrieve informations from. Simply create a brain with the files you want to process and use the latest Quivr RAG workflow to retrieve informations from the knowledge.
Quick Start 🪄:
from quivr_core import Brain
from quivr_core.quivr_rag_langgraph import QuivrQARAGLangGraph
brain = Brain.from_files(name="My Brain", file_paths=["file1.pdf", "file2.pdf"])
answer = brain.ask("What is Quivr ?")
print("Answer Quivr :", answer.answer)
Pimp your Brain 🔨 :
from quivr_core import Brain
from quivr_core.llm.llm_endpoint import LLMEndpoint
from quivr_core.embedder.embedder import DeterministicFakeEmbedding
from quivr_core.llm.llm_endpoint import LLMEndpointConfig
from quivr_core.llm.llm_endpoint import FakeListChatModel
brain = Brain.from_files(
name="test_brain",
file_paths=["my/information/source/file.pdf"],
llm=LLMEndpoint(
llm=FakeListChatModel(responses=["good"]),
llm_config=LLMEndpointConfig(model="fake_model", llm_base_url="local"),
),
embedder=DeterministicFakeEmbedding(size=20),
)
answer = brain.ask(
"What is Quivr ?"
)
print("Answer Quivr :", answer.answer)