{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"Connects LangChain applications to SambaNova's language models and embeddings through a unified interface supporting both SambaCloud and SambaStack deployments.","skillfed_tags":["llm-integration","langchain-plugin","embeddings"],"use_cases":["Build a chatbot using SambaNova models within a LangChain application without writing custom API client code.","Embed documents and queries using SambaNova embeddings for retrieval-augmented generation (RAG) workflows.","Switch between SambaCloud and SambaStack deployments by changing environment variables without code changes.","Integrate SambaNova language models into multi-step LangChain agent pipelines.","Prototype LLM applications with SambaNova models before deploying to production infrastructure."],"what_it_does":"langchain-sambanova is a LangChain integration that exposes SambaNova's language models and embeddings through a unified Python interface. It abstracts away the details of connecting to either SambaCloud (managed cloud service) or SambaStack (self-hosted), letting you instantiate chat models like ChatSambaNova and embeddings like SambaNovaEmbeddings with minimal configuration\u2014just set an API key and base URL as environment variables.\n\nThe package is built on top of langchain-core and the sambanova SDK, making it a thin adapter layer for developers who already work within the LangChain ecosystem and want to swap in SambaNova as their model provider. It supports modern Python versions (3.10 through 3.14) and has low install friction, with no compiled dependencies or heavy transitive chains.","worth_installing":"Yes, if you are already using LangChain and want to use SambaNova models. The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. It is a straightforward adapter with minimal dependencies. Install it if SambaNova is your chosen model provider; skip it if you use a different LLM backend."},"id":"langchain-sambanova","links":{"html":"https://skillfed.io/packages/langchain-sambanova","md":"https://skillfed.io/packages/langchain-sambanova.md","pypi":"https://pypi.org/project/langchain-sambanova/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-18","license_spdx":null,"license_treatment":"permissive","name":"langchain-sambanova","python_support":"supports_current","summary":"An integration package connecting SambaNova and LangChain"},"popularity":{"monthly_downloads":174146,"position":10288,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.1.1"}