🔀 merge(base.py): add SQLDatabaseChain to the ChainCreator's type_dict to enable support for SQL database chains

📦 chore(pyproject.toml): add langchain-experimental package as a dependency

poetry.lock

@@ -2890,6 +2890,20 @@ openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.4.0)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
+[[package]]
+name = "langchain-experimental"
+version = "0.0.8"
+description = "Building applications with LLMs through composability"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
+    {file = "langchain_experimental-0.0.8-py3-none-any.whl", hash = "sha256:34cf202ba29fdef178c5d68772cf2fa08dd2a0fad588ca3ef324ae71e596cc21"},
+    {file = "langchain_experimental-0.0.8.tar.gz", hash = "sha256:35d198f8e70a053ccd84273198ff08b4b700ac03ec5f43ba9b7ef797dd42ad14"},
+]
+
+[package.dependencies]
+langchain = ">=0.0.239"
+
 [[package]]
 name = "langchain-serve"
 version = "0.0.58"
@@ -7564,4 +7578,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.11"
-content-hash = "154238df4e8b249196011f592d63e2fad0e18316960e400037f54453c813d47a"
+content-hash = "57abce2ebcdc3cd7e359c36805822b9398d3bfb500c175b173a6d784d1276df6"

pyproject.toml

@@ -76,6 +76,7 @@ google-cloud-aiplatform = "^1.26.1"
 psycopg = "^3.1.9"
 psycopg-binary = "^3.1.9"
 fastavro = "^1.8.0"
+langchain-experimental = "^0.0.8"
 
 [tool.poetry.group.dev.dependencies]
 black = "^23.1.0"

src/backend/langflow/interface/chains/base.py

@@ -8,6 +8,7 @@ from langflow.template.frontend_node.chains import ChainFrontendNode
 from langflow.utils.logger import logger
 from langflow.utils.util import build_template_from_class, build_template_from_method
 from langchain import chains
+from langchain_experimental.sql import SQLDatabaseChain
 
 # Assuming necessary imports for Field, Template, and FrontendNode classes
 
@@ -35,6 +36,8 @@ class ChainCreator(LangChainTypeCreator):
             }
             from langflow.interface.chains.custom import CUSTOM_CHAINS
 
+            self.type_dict["SQLDatabaseChain"] = SQLDatabaseChain
+
             self.type_dict.update(CUSTOM_CHAINS)
             # Filter according to settings.chains
             self.type_dict = {