{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"}],"enrichment":{"capability":"Integrates NVIDIA AI Foundation Models and chat endpoints into LangChain applications, providing access to models like Nemotron through the NVIDIA API Catalog or self-hosted NIM containers.","skillfed_tags":["llm-integration","nvidia-ai","agentic-ai"],"use_cases":["Build agentic AI workflows using Nemotron's reasoning and tool-calling capabilities within LangChain","Generate code using specialized models like meta/codellama-70b or google/codegemma-7b through LangChain chains","Process multimodal inputs (text and images) with models like nvidia/neva-22b for reasoning tasks","Stream real-time responses from NVIDIA models in LangChain applications without blocking","Run inference on-premises using self-hosted NIM containers for full IP and customization control"],"what_it_does":"This package bridges LangChain and NVIDIA's AI infrastructure, letting you use NVIDIA Foundation Models\u2014particularly Nemotron and other open models\u2014as chat and embedding providers. It works by connecting to either live endpoints on the NVIDIA API Catalog (cloud-hosted on DGX infrastructure) or to self-hosted NIM microservices running in containers on your own infrastructure.\n\nYou instantiate a ChatNVIDIA object with a model name, then use standard LangChain interfaces: invoke, stream, batch, and their async variants all work natively. The package handles authentication via an NVIDIA_API_KEY environment variable and exposes available_models to discover which models your credentials can access. It integrates with LangChain's prompt templates and output parsers, so you can build chains and agents using NVIDIA models as the LLM backbone.","worth_installing":"Yes. The package has low install friction, active maintenance, no known vulnerabilities, permissive MIT licensing, and integrates seamlessly into LangChain workflows. It is worth installing if you need access to NVIDIA Foundation Models (especially Nemotron) or want the option to run models on-premises via NIM."},"id":"langchain-nvidia-ai-endpoints","links":{"html":"https://skillfed.io/packages/langchain-nvidia-ai-endpoints","md":"https://skillfed.io/packages/langchain-nvidia-ai-endpoints.md","pypi":"https://pypi.org/project/langchain-nvidia-ai-endpoints/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-02","license_spdx":null,"license_treatment":"permissive","name":"langchain-nvidia-ai-endpoints","python_support":"supports_current","summary":"An integration package connecting NVIDIA AI Endpoints and LangChain"},"popularity":{"monthly_downloads":818671,"position":4979,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.4.3"}