Adds an Info button that links to docs (#539)

src/backend/langflow/config.yaml

@@ -1,141 +1,247 @@
----
 agents:
-  - ZeroShotAgent
+  ZeroShotAgent:
-  - JsonAgent
+    documentation: "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent"
-  - CSVAgent
+  JsonAgent:
-  - AgentInitializer
+    documentation: "https://python.langchain.com/docs/modules/agents/toolkits/openapi"
-  - VectorStoreAgent
+  CSVAgent:
-  - VectorStoreRouterAgent
+    documentation: "https://python.langchain.com/docs/modules/agents/toolkits/csv"
-  - SQLAgent
+  AgentInitializer:
+    documentation: "https://python.langchain.com/docs/modules/agents/agent_types/"
+  VectorStoreAgent:
+    documentation: ""
+  VectorStoreRouterAgent:
+    documentation: ""
+  SQLAgent:
+    documentation: ""
 chains:
-  - LLMChain
+  LLMChain:
-  - LLMMathChain
+    documentation: "https://python.langchain.com/docs/modules/chains/foundational/llm_chain"
-  - LLMCheckerChain
+  LLMMathChain:
-  - ConversationChain
+    documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_math"
-  - SeriesCharacterChain
+  LLMCheckerChain:
-  - MidJourneyPromptChain
+    documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_checker"
-  - TimeTravelGuideChain
+  ConversationChain:
-  - SQLDatabaseChain
+    documentation: ""
-  - RetrievalQA
+  SeriesCharacterChain:
-  - RetrievalQAWithSourcesChain
+    documentation: ""
-  - ConversationalRetrievalChain
+  MidJourneyPromptChain:
-  - CombineDocsChain
+    documentation: ""
+  TimeTravelGuideChain:
+    documentation: ""
+  SQLDatabaseChain:
+    documentation: ""
+  RetrievalQA:
+    documentation: "https://python.langchain.com/docs/modules/chains/popular/vector_db_qa"
+  RetrievalQAWithSourcesChain:
+    documentation: ""
+  ConversationalRetrievalChain:
+    documentation: "https://python.langchain.com/docs/modules/chains/popular/chat_vector_db"
+  CombineDocsChain:
+    documentation: ""
 documentloaders:
-  - AirbyteJSONLoader
+  AirbyteJSONLoader:
-  - CoNLLULoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json"
-  - CSVLoader
+  CoNLLULoader:
-  - UnstructuredEmailLoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/conll-u"
-  - EverNoteLoader
+  CSVLoader:
-  - FacebookChatLoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv"
-  - GutenbergLoader
+  UnstructuredEmailLoader:
-  - BSHTMLLoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/email"
-  - UnstructuredHTMLLoader
+  EverNoteLoader:
-  # - UnstructuredImageLoader # Issue with Python 3.11 (https://github.com/Unstructured-IO/unstructured-inference/issues/83)
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/evernote"
-  - UnstructuredMarkdownLoader
+  FacebookChatLoader:
-  - PyPDFLoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/facebook_chat"
-  - UnstructuredPowerPointLoader
+  GutenbergLoader:
-  - SRTLoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gutenberg"
-  - TelegramChatLoader
+  BSHTMLLoader:
-  - TextLoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
-  - UnstructuredWordDocumentLoader
+  UnstructuredHTMLLoader:
-  - WebBaseLoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
-  - AZLyricsLoader
+  UnstructuredMarkdownLoader:
-  - CollegeConfidentialLoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown"
-  - HNLoader
+  PyPDFLoader:
-  - IFixitLoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf"
-  - IMSDbLoader
+  UnstructuredPowerPointLoader:
-  - GitbookLoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint"
-  - ReadTheDocsLoader
+  SRTLoader:
-  - SlackDirectoryLoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/subtitle"
-  - NotionDirectoryLoader
+  TelegramChatLoader:
-  - DirectoryLoader
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/telegram"
-  - GitLoader
+  TextLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/"
+  UnstructuredWordDocumentLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word"
+  WebBaseLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base"
+  AZLyricsLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics"
+  CollegeConfidentialLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/college_confidential"
+  HNLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/hacker_news"
+  IFixitLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/ifixit"
+  IMSDbLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/imsdb"
+  GitbookLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gitbook"
+  ReadTheDocsLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/readthedocs_documentation"
+  SlackDirectoryLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/slack"
+  NotionDirectoryLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/notion"
+  DirectoryLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/file_directory"
+  GitLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/git"
 embeddings:
-  - OpenAIEmbeddings
+  OpenAIEmbeddings:
-  - HuggingFaceEmbeddings
+    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai"
-  - CohereEmbeddings
+  HuggingFaceEmbeddings:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers"
+  CohereEmbeddings:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere"
 llms:
-  - OpenAI
+  OpenAI:
-  # - AzureOpenAI
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai"
-  # - AzureChatOpenAI
+  ChatOpenAI:
-  - ChatOpenAI
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai"
-  - LlamaCpp
+  LlamaCpp:
-  - CTransformers
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp"
-  - Cohere
+  CTransformers:
-  - Anthropic
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers"
-  - ChatAnthropic
+  Cohere:
-  - HuggingFaceHub
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere"
+  Anthropic:
+    documentation: ""
+  ChatAnthropic:
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic"
+  HuggingFaceHub:
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_hub"
 memories:
-  - ConversationBufferMemory
+  ConversationBufferMemory:
-  - ConversationSummaryMemory
+    documentation: "https://python.langchain.com/docs/modules/memory/how_to/summary"
-  - ConversationKGMemory
+  ConversationSummaryMemory:
+    documentation: "https://python.langchain.com/docs/modules/memory/how_to/summary"
+  ConversationKGMemory:
+    documentation: "https://python.langchain.com/docs/modules/memory/how_to/kg"
+  ConversationBufferWindowMemory:
+    documentation: "https://python.langchain.com/docs/modules/memory/how_to/buffer_window"
+  VectorStoreRetrieverMemory:
+    documentation: "https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory"
 prompts:
-  - PromptTemplate
+  PromptTemplate:
-  - FewShotPromptTemplate
+    documentation: "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/"
-  - ZeroShotPrompt
+  ZeroShotPrompt:
+    documentation: "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent"
 textsplitters:
-  - CharacterTextSplitter
+  CharacterTextSplitter:
-  - RecursiveCharacterTextSplitter
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter"
-  # - LatexTextSplitter
+  RecursiveCharacterTextSplitter:
-  # - PythonCodeTextSplitter
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/recursive_text_splitter"
 toolkits:
-  - OpenAPIToolkit
+  OpenAPIToolkit:
-  - JsonToolkit
+    documentation: ""
-  - VectorStoreInfo
+  JsonToolkit:
-  - VectorStoreRouterToolkit
+    documentation: ""
-  - VectorStoreToolkit
+  VectorStoreInfo:
+    documentation: ""
+  VectorStoreRouterToolkit:
+    documentation: ""
+  VectorStoreToolkit:
+    documentation: ""
 tools:
-  - Search
+  Search:
-  - PAL-MATH
+    documentation: ""
-  - Calculator
+  PAL-MATH:
-  - Serper Search
+    documentation: ""
-  - Tool
+  Calculator:
-  - PythonFunctionTool
+    documentation: ""
-  - PythonFunction
+  Serper Search:
-  - JsonSpec
+    documentation: ""
-  - News API
+  Tool:
-  - TMDB API
+    documentation: ""
-  - Podcast API
+  PythonFunctionTool:
-  - QuerySQLDataBaseTool
+    documentation: ""
-  - InfoSQLDatabaseTool
+  PythonFunction:
-  - ListSQLDatabaseTool
+    documentation: ""
-  # - QueryCheckerTool
+  JsonSpec:
-  - BingSearchRun
+    documentation: ""
-  - GoogleSearchRun
+  News API:
-  - GoogleSearchResults
+    documentation: ""
-  - GoogleSerperRun
+  TMDB API:
-  - JsonListKeysTool
+    documentation: ""
-  - JsonGetValueTool
+  Podcast API:
-  - PythonREPLTool
+    documentation: ""
-  - PythonAstREPLTool
+  QuerySQLDataBaseTool:
-  - RequestsGetTool
+    documentation: ""
-  - RequestsPostTool
+  InfoSQLDatabaseTool:
-  - RequestsPatchTool
+    documentation: ""
-  - RequestsPutTool
+  ListSQLDatabaseTool:
-  - RequestsDeleteTool
+    documentation: ""
-  - WikipediaQueryRun
+  BingSearchRun:
-  - WolframAlphaQueryRun
+    documentation: ""
+  GoogleSearchRun:
+    documentation: ""
+  GoogleSearchResults:
+    documentation: ""
+  GoogleSerperRun:
+    documentation: ""
+  JsonListKeysTool:
+    documentation: ""
+  JsonGetValueTool:
+    documentation: ""
+  PythonREPLTool:
+    documentation: ""
+  PythonAstREPLTool:
+    documentation: ""
+  RequestsGetTool:
+    documentation: ""
+  RequestsPostTool:
+    documentation: ""
+  RequestsPatchTool:
+    documentation: ""
+  RequestsPutTool:
+    documentation: ""
+  RequestsDeleteTool:
+    documentation: ""
+  WikipediaQueryRun:
+    documentation: ""
+  WolframAlphaQueryRun:
+    documentation: ""
 utilities:
-  - BingSearchAPIWrapper
+  BingSearchAPIWrapper:
-  - GoogleSearchAPIWrapper
+    documentation: ""
-  - GoogleSerperAPIWrapper
+  GoogleSearchAPIWrapper:
-  - SearxResults
+    documentation: ""
-  - SearxSearchWrapper
+  GoogleSerperAPIWrapper:
-  - SerpAPIWrapper
+    documentation: ""
-  - WikipediaAPIWrapper
+  SearxResults:
-  - WolframAlphaAPIWrapper
+    documentation: ""
-  # - ZapierNLAWrapper
+  SearxSearchWrapper:
-  - SQLDatabase
+    documentation: ""
+  SerpAPIWrapper:
+    documentation: ""
+  WikipediaAPIWrapper:
+    documentation: ""
+  WolframAlphaAPIWrapper:
+    documentation: ""
 vectorstores:
-  - Chroma
+  Chroma:
-  - Qdrant
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma"
-  - Weaviate
+  Qdrant:
-  - FAISS
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant"
-  - Pinecone
+  Weaviate:
-  - SupabaseVectorStore
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate"
-  - MongoDBAtlasVectorSearch
+  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:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase"
+  MongoDBAtlasVectorSearch:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas_vector_search"
 wrappers:
-  - RequestsWrapper
+  RequestsWrapper:
-  # - ChatPromptTemplate
+    documentation: ""
-  # - SystemMessagePromptTemplate
-  # - HumanMessagePromptTemplate

src/backend/langflow/interface/base.py

@@ -8,6 +8,7 @@ from langflow.template.field.base import TemplateField
 from langflow.template.frontend_node.base import FrontendNode
 from langflow.template.template.base import Template
 from langflow.utils.logger import logger
+from langflow.settings import settings
 
 # Assuming necessary imports for Field, Template, and FrontendNode classes
 
@@ -15,12 +16,29 @@ from langflow.utils.logger import logger
 class LangChainTypeCreator(BaseModel, ABC):
     type_name: str
     type_dict: Optional[Dict] = None
+    name_docs_dict: Optional[Dict[str, str]] = None
 
     @property
     def frontend_node_class(self) -> Type[FrontendNode]:
         """The class type of the FrontendNode created in frontend_node."""
         return FrontendNode
 
+    @property
+    def docs_map(self) -> Dict[str, str]:
+        """A dict with the name of the component as key and the documentation link as value."""
+        if self.name_docs_dict is None:
+            try:
+                type_settings = getattr(settings, self.type_name)
+                self.name_docs_dict = {
+                    name: value_dict["documentation"]
+                    for name, value_dict in type_settings.items()
+                }
+            except AttributeError as exc:
+                logger.error(exc)
+
+                self.name_docs_dict = {}
+        return self.name_docs_dict
+
     @property
     @abstractmethod
     def type_to_loader_dict(self) -> Dict:
@@ -83,7 +101,7 @@ class LangChainTypeCreator(BaseModel, ABC):
 
         signature.add_extra_fields()
         signature.add_extra_base_classes()
-
+        signature.set_documentation(self.docs_map.get(name, ""))
         return signature
 
 

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

@@ -1,5 +1,5 @@
 import json
-from typing import Any, Callable, Dict, Sequence
+from typing import Any, Callable, Dict, Sequence, Type
 
 from langchain.agents import ZeroShotAgent
 from langchain.agents import agent as agent_module
@@ -16,6 +16,10 @@ from langflow.interface.toolkits.base import toolkits_creator
 from langflow.interface.chains.base import chain_creator
 from langflow.interface.utils import load_file_into_dict
 from langflow.utils import validate
+from langchain.chains.base import Chain
+from langchain.vectorstores.base import VectorStore
+from langchain.document_loaders.base import BaseLoader
+from langchain.prompts.base import BasePromptTemplate
 
 
 def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any:
@@ -76,7 +80,7 @@ def instantiate_based_on_type(class_object, base_type, node_type, params):
         return class_object(**params)
 
 
-def instantiate_chains(node_type, class_object, params):
+def instantiate_chains(node_type, class_object: Type[Chain], params: Dict):
     if "retriever" in params and hasattr(params["retriever"], "as_retriever"):
         params["retriever"] = params["retriever"].as_retriever()
     if node_type in chain_creator.from_method_nodes:
@@ -88,11 +92,11 @@ def instantiate_chains(node_type, class_object, params):
     return class_object(**params)
 
 
-def instantiate_agent(class_object, params):
+def instantiate_agent(class_object: Type[agent_module.Agent], params: Dict):
     return load_agent_executor(class_object, params)
 
 
-def instantiate_prompt(node_type, class_object, params):
+def instantiate_prompt(node_type, class_object: Type[BasePromptTemplate], params: Dict):
     if node_type == "ZeroShotPrompt":
         if "tools" not in params:
             params["tools"] = []
@@ -100,7 +104,7 @@ def instantiate_prompt(node_type, class_object, params):
     return class_object(**params)
 
 
-def instantiate_tool(node_type, class_object, params):
+def instantiate_tool(node_type, class_object: Type[BaseTool], params: Dict):
     if node_type == "JsonSpec":
         params["dict_"] = load_file_into_dict(params.pop("path"))
         return class_object(**params)
@@ -118,7 +122,7 @@ def instantiate_tool(node_type, class_object, params):
     return class_object(**params)
 
 
-def instantiate_toolkit(node_type, class_object, params):
+def instantiate_toolkit(node_type, class_object: Type[BaseToolkit], params: Dict):
     loaded_toolkit = class_object(**params)
     # Commenting this out for now to use toolkits as normal tools
     # if toolkits_creator.has_create_function(node_type):
@@ -128,7 +132,7 @@ def instantiate_toolkit(node_type, class_object, params):
     return loaded_toolkit
 
 
-def instantiate_embedding(class_object, params):
+def instantiate_embedding(class_object, params: Dict):
     params.pop("model", None)
     params.pop("headers", None)
     try:
@@ -142,7 +146,7 @@ def instantiate_embedding(class_object, params):
         return class_object(**params)
 
 
-def instantiate_vectorstore(class_object, params):
+def instantiate_vectorstore(class_object: Type[VectorStore], params: Dict):
     search_kwargs = params.pop("search_kwargs", {})
     if initializer := vecstore_initializer.get(class_object.__name__):
         vecstore = initializer(class_object, params)
@@ -158,7 +162,7 @@ def instantiate_vectorstore(class_object, params):
     return vecstore
 
 
-def instantiate_documentloader(class_object, params):
+def instantiate_documentloader(class_object: Type[BaseLoader], params: Dict):
     if "file_filter" in params:
         # file_filter will be a string but we need a function
         # that will be used to filter the files using file_filter
@@ -187,19 +191,29 @@ def instantiate_documentloader(class_object, params):
     return docs
 
 
-def instantiate_textsplitter(class_object, params):
+def instantiate_textsplitter(
+    class_object,
+    params: Dict,
+):
     try:
         documents = params.pop("documents")
-    except KeyError as e:
+    except KeyError as exc:
         raise ValueError(
             "The source you provided did not load correctly or was empty."
             "Try changing the chunk_size of the Text Splitter."
-        ) from e
+        ) from exc
+
+    if "separator_type" in params and params["separator_type"] == "Text":
         text_splitter = class_object(**params)
+    else:
+        params["language"] = params.pop("separator_type", None)
+        params.pop("separators", None)
+        text_splitter = class_object.from_language(**params)
+
     return text_splitter.split_documents(documents)
 
 
-def instantiate_utility(node_type, class_object, params):
+def instantiate_utility(node_type, class_object, params: Dict):
     if node_type == "SQLDatabase":
         return class_object.from_uri(params.pop("uri"))
     return class_object(**params)

src/backend/langflow/settings.py

@@ -1,24 +1,23 @@
 import os
-from typing import List
 
 import yaml
 from pydantic import BaseSettings, root_validator
 
 
 class Settings(BaseSettings):
-    chains: List[str] = []
+    chains: dict = {}
-    agents: List[str] = []
+    agents: dict = {}
-    prompts: List[str] = []
+    prompts: dict = {}
-    llms: List[str] = []
+    llms: dict = {}
-    tools: List[str] = []
+    tools: dict = {}
-    memories: List[str] = []
+    memories: dict = {}
-    embeddings: List[str] = []
+    embeddings: dict = {}
-    vectorstores: List[str] = []
+    vectorstores: dict = {}
-    documentloaders: List[str] = []
+    documentloaders: dict = {}
-    wrappers: List[str] = []
+    wrappers: dict = {}
-    toolkits: List[str] = []
+    toolkits: dict = {}
-    textsplitters: List[str] = []
+    textsplitters: dict = {}
-    utilities: List[str] = []
+    utilities: dict = {}
     dev: bool = False
     database_url: str = "sqlite:///./langflow.db"
     cache: str = "InMemoryCache"
@@ -38,16 +37,16 @@ class Settings(BaseSettings):
 
     def update_from_yaml(self, file_path: str, dev: bool = False):
         new_settings = load_settings_from_yaml(file_path)
-        self.chains = new_settings.chains or []
+        self.chains = new_settings.chains or {}
-        self.agents = new_settings.agents or []
+        self.agents = new_settings.agents or {}
-        self.prompts = new_settings.prompts or []
+        self.prompts = new_settings.prompts or {}
-        self.llms = new_settings.llms or []
+        self.llms = new_settings.llms or {}
-        self.tools = new_settings.tools or []
+        self.tools = new_settings.tools or {}
-        self.memories = new_settings.memories or []
+        self.memories = new_settings.memories or {}
-        self.wrappers = new_settings.wrappers or []
+        self.wrappers = new_settings.wrappers or {}
-        self.toolkits = new_settings.toolkits or []
+        self.toolkits = new_settings.toolkits or {}
-        self.textsplitters = new_settings.textsplitters or []
+        self.textsplitters = new_settings.textsplitters or {}
-        self.utilities = new_settings.utilities or []
+        self.utilities = new_settings.utilities or {}
         self.dev = dev
 
     def update_settings(self, **kwargs):

src/backend/langflow/template/frontend_node/base.py

@@ -15,14 +15,21 @@ class FrontendNode(BaseModel):
     base_classes: List[str]
     name: str = ""
     display_name: str = ""
+    documentation: str = ""
+
+    def set_documentation(self, documentation: str) -> None:
+        """Sets the documentation of the frontend node."""
+        self.documentation = documentation
 
     def to_dict(self) -> dict:
+        """Returns a dict representation of the frontend node."""
         return {
             self.name: {
                 "template": self.template.to_dict(self.format_field),
                 "description": self.description,
                 "base_classes": self.base_classes,
                 "display_name": self.display_name or self.name,
+                "documentation": self.documentation,
             },
         }
 

src/backend/langflow/template/frontend_node/textsplitters.py

@@ -1,5 +1,6 @@
 from langflow.template.field.base import TemplateField
 from langflow.template.frontend_node.base import FrontendNode
+from langchain.text_splitter import Language
 
 
 class TextSplittersFrontendNode(FrontendNode):
@@ -17,6 +18,22 @@ class TextSplittersFrontendNode(FrontendNode):
             name = "separator"
         elif self.template.type_name == "RecursiveCharacterTextSplitter":
             name = "separators"
+            # Add a field for type of separator
+            # which will have Text or any value from the
+            # Language enum
+            self.template.add_field(
+                TemplateField(
+                    field_type="str",
+                    required=True,
+                    show=True,
+                    name="separator_type",
+                    advanced=False,
+                    is_list=True,
+                    options=[x.value for x in Language],
+                    value="Text",
+                    display_name="Separator Type",
+                )
+            )
         self.template.add_field(
             TemplateField(
                 field_type="str",

src/backend/langflow/template/frontend_node/vectorstores.py

@@ -200,7 +200,7 @@ class VectorStoreFrontendNode(FrontendNode):
                 self.template.add_field(field)
 
     def add_extra_base_classes(self) -> None:
-        self.base_classes.append("BaseRetriever")
+        self.base_classes.extend(("BaseRetriever", "VectorStoreRetriever"))
 
     @staticmethod
     def format_field(field: TemplateField, name: Optional[str] = None) -> None:

src/frontend/src/CustomNodes/GenericNode/index.tsx

@@ -6,16 +6,7 @@ import {
 } from "../../utils";
 import ParameterComponent from "./components/parameterComponent";
 import { typesContext } from "../../contexts/typesContext";
-import {
+import { useContext, useState, useEffect, useRef } from "react";
-  useContext,
-  useState,
-  useEffect,
-  useRef,
-  ForwardRefExoticComponent,
-  ComponentType,
-  SVGProps,
-  ReactNode,
-} from "react";
 import { NodeDataType } from "../../types/flow";
 import { alertContext } from "../../contexts/alertContext";
 import { PopUpContext } from "../../contexts/popUpContext";
@@ -23,10 +14,9 @@ import NodeModal from "../../modals/NodeModal";
 import Tooltip from "../../components/TooltipComponent";
 import { NodeToolbar } from "reactflow";
 import NodeToolbarComponent from "../../pages/FlowPage/components/nodeToolbarComponent";
-
+import { FileText, Info } from "lucide-react";
 import ShadTooltip from "../../components/ShadTooltipComponent";
 import { useSSE } from "../../contexts/SSEContext";
-import { ReactElement } from "react-markdown/lib/react-markdown";
 
 export default function GenericNode({
   data,
@@ -46,6 +36,7 @@ export default function GenericNode({
   const [validationStatus, setValidationStatus] = useState(null);
   // State for outline color
   const { sseData, isBuilding } = useSSE();
+  const refHtml = useRef(null);
 
   // useEffect(() => {
   //   if (reactFlowInstance) {
@@ -79,6 +70,22 @@ export default function GenericNode({
 
   useEffect(() => {}, [closePopUp, data.node.template]);
 
+  useEffect(() => {
+    refHtml.current = (
+      <div className="flex">
+        <span>{`${data.node.display_name} Documentation`}</span>
+        <span
+          className="self-center"
+          style={{
+            color: nodeColors[types[data.type]] ?? nodeColors.unknown,
+          }}
+        >
+          <FileText className="h-4 w-4 ml-2" />
+        </span>
+      </div>
+    );
+  }, []);
+
   return (
     <>
       <NodeToolbar>
@@ -103,7 +110,7 @@ export default function GenericNode({
                 color: nodeColors[types[data.type]] ?? nodeColors.unknown,
               }}
             />
-            <div className="ml-2 truncate">
+            <div className="ml-2 truncate flex">
               <ShadTooltip
                 delayDuration={1500}
                 content={data.node.display_name}
@@ -112,6 +119,29 @@ export default function GenericNode({
                   {data.node.display_name}
                 </div>
               </ShadTooltip>
+              <div className="">
+                {data.node.documentation !== "" && (
+                  <ShadTooltip
+                    open={true}
+                    delayDuration={1000}
+                    content={refHtml.current}
+                  >
+                    <a
+                      href={data.node.documentation}
+                      target="_blank"
+                      rel="noopener noreferrer"
+                    >
+                      <Info
+                        style={{
+                          color:
+                            nodeColors[types[data.type]] ?? nodeColors.unknown,
+                        }}
+                        className="ml-2 self-center w-4 h-4"
+                      />
+                    </a>
+                  </ShadTooltip>
+                )}
+              </div>
             </div>
           </div>
           <div className="flex gap-3">

src/frontend/src/contexts/tabsContext.tsx

@@ -198,8 +198,13 @@ export function TabsProvider({ children }: { children: ReactNode }) {
       edge.style = { stroke: "#555555" };
     });
   }
+
   function updateDisplay_name(node: NodeType, template: APIClassType) {
-    node.data.node.display_name = template["display_name"]?template["display_name"]:node.data.type;
+    node.data.node.display_name = template["display_name"] || node.data.type;
+  }
+
+  function updateNodeDocumentation(node: NodeType, template: APIClassType) {
+    node.data.node.documentation = template["documentation"];
   }
 
   function processFlowNodes(flow) {
@@ -216,6 +221,7 @@ export function TabsProvider({ children }: { children: ReactNode }) {
         updateNodeEdges(flow, node, template);
         updateNodeDescription(node, template);
         updateNodeTemplate(node, template);
+        updateNodeDocumentation(node, template);
       }
     });
   }
@@ -224,7 +230,11 @@ export function TabsProvider({ children }: { children: ReactNode }) {
     node.data.node.base_classes = template["base_classes"];
   }
 
-  function updateNodeEdges(flow:FlowType, node:NodeType,template:APIClassType) {
+  function updateNodeEdges(
+    flow: FlowType,
+    node: NodeType,
+    template: APIClassType
+  ) {
     flow.data.edges.forEach((edge) => {
       if (edge.source === node.id) {
         edge.sourceHandle = edge.sourceHandle

src/frontend/src/types/api/index.ts

@@ -12,6 +12,7 @@ export type APIClassType = {
   description: string;
   template: APITemplateType;
   display_name: string;
+  documentation: string;
   [key: string]: Array<string> | string | APITemplateType;
 };
 export type TemplateVariableType = {

tests/test_prompts_template.py

@@ -88,85 +88,6 @@ def test_prompt_template(client: TestClient):
     }
 
 
-def test_few_shot_prompt_template(client: TestClient):
-    response = client.get("api/v1/all")
-    assert response.status_code == 200
-    json_response = response.json()
-    prompts = json_response["prompts"]
-
-    prompt = prompts["FewShotPromptTemplate"]
-    template = prompt["template"]
-    # Test other fields in the template similar to PromptTemplate
-    assert template["examples"] == {
-        "required": False,
-        "placeholder": "",
-        "show": True,
-        "multiline": True,
-        "password": False,
-        "name": "examples",
-        "type": "prompt",
-        "list": True,
-        "advanced": False,
-    }
-    assert template["example_selector"] == {
-        "required": False,
-        "placeholder": "",
-        "show": False,
-        "multiline": False,
-        "password": False,
-        "name": "example_selector",
-        "type": "BaseExampleSelector",
-        "list": False,
-        "advanced": False,
-    }
-    assert template["example_prompt"] == {
-        "required": True,
-        "placeholder": "",
-        "show": True,
-        "multiline": False,
-        "password": False,
-        "name": "example_prompt",
-        "type": "PromptTemplate",
-        "list": False,
-        "advanced": False,
-    }
-    assert template["suffix"] == {
-        "required": True,
-        "placeholder": "",
-        "show": True,
-        "multiline": True,
-        "password": False,
-        "name": "suffix",
-        "type": "prompt",
-        "list": False,
-        "advanced": False,
-    }
-    assert template["example_separator"] == {
-        "required": False,
-        "placeholder": "",
-        "show": False,
-        "multiline": False,
-        "value": "\n\n",
-        "password": False,
-        "name": "example_separator",
-        "type": "str",
-        "list": False,
-        "advanced": False,
-    }
-    assert template["prefix"] == {
-        "required": False,
-        "placeholder": "",
-        "show": True,
-        "multiline": True,
-        "value": "",
-        "password": False,
-        "name": "prefix",
-        "type": "prompt",
-        "list": False,
-        "advanced": False,
-    }
-
-
 def test_zero_shot_prompt(client: TestClient):
     response = client.get("api/v1/all")
     assert response.status_code == 200