Building Agentic solutions with Snowflake Services and LangGraph

This article demonstrates how Infostrux built a modular SnowflakeComplete class to integrate Snowflake’s Cortex LLM REST API into LangGraph agents, enabling secure, asynchronous language-model capabilities directly in agent workflows using LangChain-compatible message formats and streaming responses

This article explains how Infostrux created a modular SnowflakeSearchServiceTool to wrap Snowflake’s Cortex Search Service REST API in LangGraph agents, enabling fast, hybrid semantic and keyword search over unstructured data directly within agent workflows while abstracting away embedding infrastructure and index management 

This article shows how Infostrux wrapped Snowflake’s Cortex Agents in a modular SnowflakeAgentTool designed for LangGraph, enabling asynchronous, real-time orchestration across both structured and unstructured data using OAuth‑based governance and streamable LLM responses directly within agent workflows

This article shows how to build an intelligent Q&A system using LangGraph and Snowflake by routing user queries to the right tools—like document search, SQL execution, or LLM reasoning—to deliver accurate answers. It highlights the modular and scalable nature of LangGraph combined with Snowflake’s AI Data Cloud.

This article demonstrates how to integrate Snowpark sessions into FastAPI applications by creating a Python class wrapper that manages session lifecycle and ensures proper cleanup using Python's garbage collector. It addresses the challenge of managing ephemeral sessions in a stateless web application environment. The solution provides a structured approach to initializing, configuring, and cleaning up Snowpark sessions efficiently within FastAPI endpoints.

This article demonstrates how to securely integrate Snowflake's REST API into FastAPI applications by building a custom OAuth client using Python. It outlines the OAuth 2.0 authorization code grant flow, including user authentication, consent, and token exchange, to facilitate secure access to Snowflake resources. The implementation ensures that client applications can interact with Snowflake without exposing user credentials, enhancing security and control over data access.