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feat: Support for Autodetect in AstraDBVectorStore settings (#4869)

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* feat: first pass at autodetect updates

* [autofix.ci] apply automated fixes

* Fully support autodetect

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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Eric Hare 2024-12-02 08:37:14 -08:00 • committed by GitHub
commit 19d2974904
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7 changed files with 280 additions and 93 deletions
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6
src/backend/tests/unit/initial_setup/starter_projects/test_vector_store_rag.py
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@ -11,7 +11,7 @@ from langflow.components.outputs import ChatOutput
from langflow.components.processing import ParseDataComponent
from langflow.components.processing.split_text import SplitTextComponent
from langflow.components.prompts import PromptComponent
from langflow.components.vectorstores import AstraVectorStoreComponent
from langflow.components.vectorstores import AstraDBVectorStoreComponent
from langflow.graph import Graph
from langflow.graph.graph.constants import Finish
from langflow.schema import Data
@ -29,7 +29,7 @@ def ingestion_graph():
openai_embeddings.set(
openai_api_key="sk-123", openai_api_base="https://api.openai.com/v1", openai_api_type="openai"
)
vector_store = AstraVectorStoreComponent(_id="vector-store-123")
vector_store = AstraDBVectorStoreComponent(_id="vector-store-123")
vector_store.set(
embedding_model=openai_embeddings.build_embeddings,
ingest_data=text_splitter.split_text,
@ -48,7 +48,7 @@ def rag_graph():
openai_embeddings = OpenAIEmbeddingsComponent(_id="openai-embeddings-124")
chat_input = ChatInput(_id="chatinput-123")
chat_input.get_output("message").value = "What is the meaning of life?"
rag_vector_store = AstraVectorStoreComponent(_id="rag-vector-store-123")
rag_vector_store = AstraDBVectorStoreComponent(_id="rag-vector-store-123")
rag_vector_store.set(
search_input=chat_input.message_response,
api_endpoint="https://astra.example.com",