--- title: Sharing LangSmith Benchmarks | daily.dev description: LangChain introduces public LangSmith benchmarks and a new `langchain-benchmarks` package to help developers evaluate LLM architectures. The first benchmark is... canonical: https://daily.dev/posts/sharing-langsmith-benchmarks-fm2mxhldk twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Sharing LangSmith Benchmarks | daily.dev og:description: LangChain introduces public LangSmith benchmarks and a new `langchain-benchmarks` package to help developers evaluate LLM architectures. The first benchmark is... og:url: https://daily.dev/posts/sharing-langsmith-benchmarks-fm2mxhldk og:image: https://api.daily.dev/og/posts/FM2MXhLDk.png og:image:alt: Sharing LangSmith Benchmarks og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Sharing LangSmith Benchmarks **[LangChain](https://daily.dev/sources/langchain)** · 10 min read · 0 upvotes · 0 comments ## Summary LangChain introduces public LangSmith benchmarks and a new `langchain-benchmarks` package to help developers evaluate LLM architectures. The first benchmark is a Q&A dataset over LangChain's Python docs, testing RAG systems and agents across multiple models (GPT-3.5, GPT-4, Claude-2, Mistral-7B, Zephyr-7B). Results show OpenAI's Assistant API achieved the highest accuracy, while open-source models lagged proprietary APIs but offered latency advantages. The platform enables sharing evaluation datasets with full execution traces, allowing step-by-step inspection of model behavior to diagnose hallucinations, retrieval failures, and document ordering issues. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [LangChain State of AI 2023](https://daily.dev/posts/langchain-state-of-ai-2023-d17ls6vig) · LangChain · 0 upvotes · 0 comments - [Benchmarking Question/Answering Over CSV Data](https://daily.dev/posts/benchmarking-question-answering-over-csv-data-kgr4n9uxg) · LangChain · 0 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#rag](https://daily.dev/tags/rag), [#langchain](https://daily.dev/tags/langchain), [#langsmith](https://daily.dev/tags/langsmith) [View this post on daily.dev](https://daily.dev/posts/sharing-langsmith-benchmarks-fm2mxhldk) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Sharing LangSmith Benchmarks","url":"https://daily.dev/posts/sharing-langsmith-benchmarks-fm2mxhldk","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/sharing-langsmith-benchmarks-fm2mxhldk"},"datePublished":"2026-07-08T19:22:57.834Z","dateModified":"2026-08-24T06:54:51.364Z","description":"LangChain introduces public LangSmith benchmarks and a new `langchain-benchmarks` package to help developers evaluate LLM architectures. The first benchmark is...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/e11efdfccf20d6137c55a0c628cb166e?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/e11efdfccf20d6137c55a0c628cb166e?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"LangChain","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"LangChain","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/0f4f2629e0724a849823f8cd0d913e13","url":"https://daily.dev/sources/langchain"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/sharing-langsmith-benchmarks-fm2mxhldk","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,rag,langchain,langsmith","timeRequired":"PT10M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"LangChain","item":"https://daily.dev/sources/langchain"},{"@type":"ListItem","position":3,"name":"Sharing LangSmith Benchmarks"}]} ```