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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.

Milvus is an open-source vector database designed for building Retrieval-Augmented Generation (RAG) applications. By combining Milvus with SambaNova LLMs, you can create scalable, high-performance RAG pipelines.

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Prerequisites

  • A SambaCloud account and API key
  • Python 3.8 or higher

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Installation and setup

  1. Create a virtual environment
python -m venv .venv
source .venv/bin/activate
  1. Install dependencies
pip install openai
pip install pymilvus
pip install langchain-sambanova
  1. Set your SambaNova API key
export api_key="your-sambanova-api-key"

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Example use cases

  • Build Retrieval-Augmented Generation (RAG) systems
  • Store and query embeddings efficiently
  • Combine SambaNova LLMs with Milvus for scalable knowledge retrieval

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Example notebooks

You can explore example notebooks to learn how to build RAG systems with SambaCloud and Milvus: These guides walk you through setting up and integrating the systems to create a functional RAG application.