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Documentation Index

Fetch the complete documentation index at: https://sambanova-systems.mintlify.dev/docs/llms.txt

Use this file to discover all available pages before exploring further.

LangGraph provides low-level infrastructure for building long-running, stateful workflows and agents.

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Prerequisites

  • A SambaCloud account with an API key
  • Python 3.11.5 or higher installed

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Installation and setup

  1. Create a virtual environment:
python -m venv .venv
source .venv/bin/activate
  1. install the required libraries
pip install langchain-sambanova langchain langgraph

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Example use cases

You can use LangGraph with SambaCloud to create multi-agent workflows such as:
  • Web search
  • Retrieval-Augmented Generation (RAG)
  • SQL agents

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Example notebooks

Agentic Search: Build a chatbot that integrates a web search tool with SambaCloud LLM.

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LangGraph documentation

See LangGraph documentation for more details.