Groq LangChain

Groq LangChain is a connector that allows LangChain to call large language models served in the Groq Language Processing Unit (LPU) cloud, delivering token latency of less than 10ms. After installing langchain_groq, developers create a Groq instance with an API key and select a model, such as Llama 3-70B-Instruct. The wrapper implements the standard LangChain LLM interface — the generate, stream, and get_num_tokens methods — so it fits into existing chains, agents, and Retrieval-Augmented Generation (RAG) pipelines without changing code. Because Groq LPUs process inference entirely in SRAM, responses are transmitted at a rate of over 300 tokens per second, reducing latency for chatbots, co-pilots, and real-time analytics dashboards. Built-in callbacks report latency and cost, and environment variables protect credentials. Teams can mix Groq with other models — GPT-4, Claude — using LangChain router chains, or deploy hybrid setups where Groq handles high-performance queries and GPUs handle fine-tuning. The result is a plug-and-play path to ultra-low-latency, cost-effective LLM applications.