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To upgrade langchain, langgraph, faiss packagge; correct embedding-qa model id #327

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To upgrade langchain, langgraph, faiss packagge; correct embedding-qa model id #327

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54 changes: 37 additions & 17 deletions RAG/notebooks/langchain/LangGraph_HandlingAgent_IntermediateSteps.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -44,13 +44,19 @@
"metadata": {},
"outputs": [],
"source": [
"!pip install --upgrade pip\n",
"!pip install langchain==0.2.5\n",
"!pip install langchain-nvidia-ai-endpoints==0.1.2\n",
"!pip install langchain-community==0.2.2\n",
"!pip install langgraph==0.0.62\n",
"!pip install faiss-gpu==1.7.2\n",
"!pip install wikipedia==1.4.0"
"# install below package when 'pip' is referred to the dedicated python virtual environment. \n",
"# !pip install --upgrade pip\n",
"# !pip install langchain==0.3.27\n",
"# !pip install langchain-nvidia-ai-endpoints==0.3.13\n",
"# !pip install langchain-community==0.3.27\n",
"# !pip install langgraph==0.6.3\n",
"# !pip install wikipedia==1.4.0\n",
"\n",
"# faiss-gpu can only be used up to py310, when using later Python versions, please move to faiss-cpu\n",
"# with py311+\n",
"# !pip install faiss-cpu=1.11.0\n",
"# or with GPU & py310 and below\n",
"# !pip install faiss-gpu==1.7.2\n"
]
},
{
Expand Down Expand Up @@ -113,8 +119,12 @@
"from langchain_nvidia_ai_endpoints import ChatNVIDIA\n",
"from langchain_nvidia_ai_endpoints import NVIDIAEmbeddings\n",
"\n",
"llm = ChatNVIDIA(model=\"mistralai/mixtral-8x7b-instruct-v0.1\", nvidia_api_key=nvapi_key, max_tokens=2048)\n",
"embedder = NVIDIAEmbeddings(model=\"NV-Embed-QA\", truncate=\"END\")\n"
"llm = ChatNVIDIA(model=\"mistralai/mixtral-8x7b-instruct-v0.1\", \n",
" nvidia_api_key=nvapi_key, \n",
" max_completion_tokens=2048) # max_tokens is about to be depreciated.\n",
"\n",
"embedder = NVIDIAEmbeddings(model=\"nvidia/nv-embedqa-e5-v5\", # recent valid embedding QA model\n",
" truncate=\"END\")\n"
]
},
{
Expand Down Expand Up @@ -197,12 +207,13 @@
"outputs": [],
"source": [
"from langchain.tools import BaseTool\n",
"from pydantic import Field\n",
"\n",
"class SwedenRetriever(BaseTool):\n",
" name = \"AboutSweden\"\n",
" description = \"Useful for when you need to answer questions about Sweden's population, history, and so on.\"\n",
" name: str = \"AboutSweden\"\n",
" description: str = \"Useful for when you need to answer questions about Sweden's population, history, and so on.\"\n",
"\n",
" def _run(self, query):\n",
" def _run(self, query) -> str:\n",
" out = retriever.invoke(query)\n",
" o = out[0]\n",
" item=o.page_content.split('|')\n",
Expand Down Expand Up @@ -257,6 +268,7 @@
" func=wikipedia.run,\n",
" name=\"Wiki\",\n",
" description=\"useful for when you need to search certain topic on Wikipedia, aka wiki\")\n",
"\n",
"retriever_tool=Tool.from_function(\n",
" func=sv.invoke,\n",
" name=\"AboutSweden\",\n",
Expand All @@ -283,11 +295,11 @@
"outputs": [],
"source": [
"from langchain_core.agents import AgentFinish\n",
"from langgraph.prebuilt.tool_executor import ToolExecutor\n",
"from langgraph.prebuilt import ToolNode\n",
"\n",
"# This a helper class we have that is useful for running tools\n",
"# It takes in an agent action and calls that tool and returns the result\n",
"tool_executor = ToolExecutor(tools)\n"
"tool_node = ToolNode(tools)\n"
]
},
{
Expand Down Expand Up @@ -505,7 +517,7 @@
" agent_output = data[\"agent_outcome\"]\n",
" if len(agent_output['intermediate_steps'])>=1 :\n",
" agent_action = agent_output['intermediate_steps'][0][0]\n",
" output = tool_executor.invoke(agent_action)\n",
" output = tool_node.invoke(agent_action)\n",
" return {\"intermediate_steps\": [(agent_action, str(output))]}\n",
" else:\n",
" return {\"intermediate_steps\":[]}\n",
Expand Down Expand Up @@ -622,11 +634,19 @@
"inputs = {\"input\": \"Find me Taylor Swift information on wiki?\"}\n",
"outputs=app.invoke(inputs)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9801bb4c",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "generativeaiexamples",
"language": "python",
"name": "python3"
},
Expand All @@ -640,7 +660,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.12.11"
}
},
"nbformat": 4,
Expand Down