SUTRA Integrations Guide
Welcome! This directory showcases how to connect SUTRA—a powerful multilingual language model family by TWO AI—with leading frameworks and agentic platforms. These integration notebooks help you leverage SUTRA's capabilities in your own LLM-powered workflows, apps, and pipelines.
What You'll Find Here
- LlamaIndex integration: Use SUTRA as an LLM backend for data-augmented agents and retrieval workflows
- LangChain integration: Build advanced chains, tools, and conversational agents with SUTRA
- Agno integration: Create agentic, multimodal, and memory-augmented workflows with SUTRA
Included Notebooks
- Sutra with LlamaIndex (Open in Colab)
- Sutra with LangChain (Open in Colab)
- Sutra with Agno (Open in Colab)
Prerequisites
- Basic Python programming knowledge
- Familiarity with Jupyter or Google Colab (recommended)
- Get your SUTRA API key (free for signup)
- API keys for other frameworks (e.g., OpenAI, Tavily) as needed
How to Use
- Open any notebook above in Google Colab (recommended) or your local Jupyter environment.
- Install dependencies (see the first cell in each notebook).
- Add your SUTRA API key and any other required keys when prompted (Colab: use the secret manager for best security).
- Run the cells and experiment!
Next Steps
Explore the rest of the Sutra Cookbook for more advanced use cases, prompt engineering, and real-world applications.
For more, visit the Sutra Documentation