Fix embedding function name in FAISS and update dependencies (#1169)

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow"
-version = "0.5.8"
+version = "0.5.9"
 description = "A Python package with a built-in web application"
 authors = ["Logspace <contact@logspace.ai>"]
 maintainers = [
@@ -54,12 +54,12 @@ wikipedia = "^1.4.0"
 qdrant-client = "^1.4.0"
 websockets = "^10.3"
 weaviate-client = "^3.23.0"
-jina = "3.15.2"
+jina = "*"
 sentence-transformers = { version = "^2.2.2", optional = true }
 ctransformers = { version = "^0.2.10", optional = true }
 cohere = "^4.27.0"
 python-multipart = "^0.0.6"
-sqlmodel = "^0.0.8"
+sqlmodel = "^0.0.12"
 faiss-cpu = "^1.7.4"
 anthropic = "^0.3.0"
 orjson = "3.9.3"
@@ -75,7 +75,7 @@ google-cloud-aiplatform = "^1.26.1"
 psycopg = "^3.1.9"
 psycopg-binary = "^3.1.9"
 fastavro = "^1.8.0"
-langchain-experimental = "^0.0.8"
+langchain-experimental = "*"
 celery = { extras = ["redis"], version = "^5.3.1", optional = true }
 redis = { version = "^4.6.0", optional = true }
 flower = { version = "^2.0.0", optional = true }

src/backend/langflow/interface/initialize/vector_store.py

@@ -1,17 +1,17 @@
-from typing import Any, Callable, Dict, Type
-from langchain.vectorstores import (
-    Pinecone,
-    Qdrant,
-    Chroma,
-    FAISS,
-    Weaviate,
-    SupabaseVectorStore,
-    MongoDBAtlasVectorSearch,
-)
-from langchain.schema import Document
 import os
+from typing import Any, Callable, Dict, Type
 
 import orjson
+from langchain.schema import Document
+from langchain.vectorstores import (
+    FAISS,
+    Chroma,
+    MongoDBAtlasVectorSearch,
+    Pinecone,
+    Qdrant,
+    SupabaseVectorStore,
+    Weaviate,
+)
 
 
 def docs_in_params(params: dict) -> bool:
@@ -28,8 +28,8 @@ def initialize_mongodb(class_object: Type[MongoDBAtlasVectorSearch], params: dic
     MONGODB_ATLAS_CLUSTER_URI = params.pop("mongodb_atlas_cluster_uri")
     if not MONGODB_ATLAS_CLUSTER_URI:
         raise ValueError("Mongodb atlas cluster uri must be provided in the params")
-    from pymongo import MongoClient
     import certifi
+    from pymongo import MongoClient
 
     client: MongoClient = MongoClient(
         MONGODB_ATLAS_CLUSTER_URI, tlsCAFile=certifi.where()
@@ -120,6 +120,7 @@ def initialize_faiss(class_object: Type[FAISS], params: dict):
         return class_object.load_local
 
     save_local = params.get("save_local")
+    params["embedding_function"] = params.pop("embedding")
     faiss_index = class_object(**params)
     if save_local:
         faiss_index.save_local(folder_path=save_local)