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Pin bcrypt version and update package version (#1176)

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Gabriel Luiz Freitas Almeida 2023-12-04 19:26:04 -03:00 • committed by GitHub
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@ -307,27 +307,32 @@ files = [
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name = "bcrypt"
version = "4.1.1"
version = "4.0.1"
description = "Modern password hashing for your software and your servers"
optional = false
python-versions = ">=3.7"
python-versions = ">=3.6"
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version = "2023.10.0"
version = "2023.12.0"
description = "File-system specification"
optional = false
python-versions = ">=3.8"
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version = "0.7.0"
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@ -2876,13 +2881,13 @@ files = [
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version = "6.11.0"
description = "Read metadata from Python packages"
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python-versions = ">=3.8"
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@ -3399,13 +3404,13 @@ six = "*"
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name = "langfuse"
version = "1.10.0"
version = "1.11.0"
description = "A client library for accessing langfuse"
optional = false
python-versions = ">=3.8.1,<4.0"
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@ -3422,13 +3427,13 @@ wrapt = "1.14"
[[package]]
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version = "0.0.69"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
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@ -4966,13 +4971,13 @@ grpc = ["googleapis-common-protos (>=1.53.0)", "grpc-gateway-protoc-gen-openapiv
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name = "platformdirs"
version = "4.0.0"
version = "4.1.0"
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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version = "3.1.0"
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tzdata = {version = "*", markers = "sys_platform == \"win32\""}
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@ -5182,76 +5187,76 @@ test = ["anyio (>=3.6.2,<4.0)", "mypy (>=1.4.1)", "pproxy (>=2.7)", "pytest (>=6
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{file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
{file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"},
]
[package.extras]
@ -8524,4 +8536,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.11"
content-hash = "4118ab1f9744ef3decbfbdeea541fd5ab5e4dc25247f1bf3e32c61bb434ee3a3"
content-hash = "f39c1224626213ab5eae183a3cb9e22bec208bd1caae342b595ef55c5c11c0a3"

4
pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow"
version = "0.5.10"
version = "0.5.11"
description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"]
maintainers = [
@ -81,7 +81,7 @@ redis = { version = "^4.6.0", optional = true }
flower = { version = "^2.0.0", optional = true }
alembic = "^1.12.0"
passlib = "^1.7.4"
bcrypt = "^4.0.1"
bcrypt = "4.0.1"
python-jose = "^3.3.0"
metaphor-python = "^0.1.11"
pywin32 = { version = "^306", markers = "sys_platform == 'win32'" }

64
src/backend/langflow/components/vectorstores/Faiss.py Normal file
View file

@ -0,0 +1,64 @@
from typing import List, Optional, Union
from langflow import CustomComponent
from langchain.vectorstores import FAISS
from langchain.vectorstores.base import VectorStore
from langchain.schema import BaseRetriever
from langchain.schema import Document
from langchain.embeddings.base import Embeddings
class FAISSComponent(CustomComponent):
"""
A custom component for implementing a Vector Store using FAISS.
"""
display_name: str = "FAISS (Custom Component)"
description: str = "Implementation of Vector Store using FAISS"
documentation = "https://python.langchain.com/docs/integrations/vectorstores/faiss"
beta = True
def build_config(self):
return {
"persistence": {
"display_name": "Persistence",
"options": ["In-Memory", "LocalDirectory"],
"value": "In-Memory",
},
"folder_path": {
"display_name": "Folder Path",
"required": False,
},
"index_name": {"display_name": "Index Name", "value": "faiss_index"},
"documents": {"display_name": "Documents", "is_list": True},
"embeddings": {"display_name": "Embeddings"},
"code": {"display_name": "Code", "show": False},
}
def build(
self,
persistence: str,
index_name: str,
embeddings: Embeddings,
folder_path: Optional[str] = None,
documents: Optional[List[Document]] = None,
) -> Union[VectorStore, BaseRetriever]:
if persistence == "LocalDirectory" and not folder_path:
raise ValueError("Folder path is required for local directory persistence")
# Load if persistence is LocalDirectory
if documents is None and folder_path is not None:
return FAISS.load_local(
folder_path=folder_path, embeddings=embeddings, index_name=index_name
)
if documents is None:
raise ValueError("Documents must be provided in the params")
db = FAISS.from_documents(documents=documents, embedding=embeddings)
# Save if persistence is LocalDirectory
if persistence == "LocalDirectory" and folder_path is not None:
db.save_local(folder_path=folder_path, index_name=index_name)
return db

4
src/backend/langflow/config.yaml
View file

@ -271,8 +271,8 @@ vectorstores:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant"
Weaviate:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate"
FAISS:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss"
# FAISS:
# documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss"
Pinecone:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone"
SupabaseVectorStore: