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Update app.py
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app.py
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@@ -7,7 +7,7 @@ from langchain_openai import OpenAIEmbeddings
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from langchain_community.vectorstores import Chroma
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from langchain_core.messages import HumanMessage, AIMessage, ToolMessage
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langgraph.graph import END, StateGraph
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from langgraph.prebuilt import ToolNode
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from langgraph.graph.message import add_messages
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from typing_extensions import TypedDict, Annotated
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@@ -18,6 +18,9 @@ import streamlit as st
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import requests
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from langchain.tools.retriever import create_retriever_tool
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# ------------------------------
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# Dummy Data: Research & Development Texts
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# ------------------------------
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@@ -45,8 +48,7 @@ development_docs = splitter.create_documents(development_texts)
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# ------------------------------
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embeddings = OpenAIEmbeddings(
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model="text-embedding-3-large",
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#
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# dimensions=1024
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)
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research_vectorstore = Chroma.from_documents(
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documents=research_docs,
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from langchain_community.vectorstores import Chroma
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from langchain_core.messages import HumanMessage, AIMessage, ToolMessage
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langgraph.graph import END, StateGraph # Removed START import
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from langgraph.prebuilt import ToolNode
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from langgraph.graph.message import add_messages
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from typing_extensions import TypedDict, Annotated
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import requests
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from langchain.tools.retriever import create_retriever_tool
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# Define our own START constant
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START = "START"
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# ------------------------------
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# Dummy Data: Research & Development Texts
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# ------------------------------
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# ------------------------------
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embeddings = OpenAIEmbeddings(
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model="text-embedding-3-large",
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# dimensions=1024 # Uncomment if needed
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)
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research_vectorstore = Chroma.from_documents(
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documents=research_docs,
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