--- title: "LangChain State of AI 2024 Report" url: https://daily.dev/posts/langchain-state-of-ai-2024-report-tvkmqo30g source_url: https://www.langchain.com/blog/langchain-state-of-ai-2024 type: article source: "LangChain" published: 2026-08-26T16:49:10.118Z updated: 2026-08-26T16:49:37.324Z tags: ["llm", "ai-agents", "langchain", "llm-observability"] reading_time: 6 upvotes: 0 comments: 0 language: 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. # LangChain State of AI 2024 Report **[LangChain](https://daily.dev/sources/langchain)** · 6 min read · 0 upvotes · 0 comments ## Summary LangChain's annual report analyzes LangSmith usage data across nearly 30k monthly users, revealing key 2024 trends: OpenAI remains the top LLM provider (6x Ollama), while Ollama and Groq gained momentum for open-source model deployment. Vector store rankings stayed stable with Chroma and FAISS leading, though Milvus, MongoDB, and Elastic joined the top 10. LangGraph adoption grew significantly, with 43% of organizations now sending LangGraph traces, and tool-call usage in traces jumped from 0.5% to 21.9%, signaling a shift toward agentic workflows. Average steps per trace rose from 2.8 to 7.7, while LLM calls per trace grew modestly (1.1 to 1.4), indicating more efficient multi-step designs. Annotated runs for human feedback grew 18x year over year, and Python continues to dominate LangSmith SDK usage (84.7%) though JavaScript usage tripled to 15.3%. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What percentage of LangSmith organizations are using LangGraph for agent workflows? 43% of LangSmith organizations send LangGraph traces, up from its initial release in March 2024. These traces represent complex, orchestrated multi-step tasks that go beyond simple LLM interactions, reflecting the broader shift toward agentic AI application design observed across LangSmith's user base during the year. _Developers evaluating agent frameworks can track adoption trends like this on daily.dev._ ### How much did tool calling increase in LLM applications during 2024 according to LangSmith data? Tool calls appeared in an average of 21.9% of LangSmith traces in 2024, up sharply from just 0.5% in 2023. Tool calling lets a model autonomously invoke functions or external resources, such as writing to databases, and its rise reflects growing agentic behavior where models decide when to take action. _Anyone building agentic LLM systems can follow shifts like this via daily.dev._ ### Which LLM provider is most used by developers building applications with LangSmith? OpenAI remains the most-used LLM provider among LangSmith users, used more than 6 times as much as Ollama, the second-most popular provider. Ollama and Groq both gained significant momentum during the year, breaking into the top 5 as developers sought more flexible open-source model deployment options for local and cloud use. _Teams weighing LLM provider choices can keep tabs on shifts like this through daily.dev._ ## 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 - [LLM Orchestration Frameworks Compared: LangChain vs. LlamaIndex vs. Raw API Calls](https://daily.dev/posts/llm-orchestration-frameworks-compared-langchain-vs-llamaindex-vs-raw-api-calls-glbw3rxku) · Machine Learning Mastery · 3 upvotes · 0 comments - [LangChain's Second Birthday](https://daily.dev/posts/langchain-s-second-birthday-gtx6fvbxv) · LangChain · 0 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#langchain](https://daily.dev/tags/langchain), [#llm-observability](https://daily.dev/tags/llm-observability) [View this post on daily.dev](https://daily.dev/posts/langchain-state-of-ai-2024-report-tvkmqo30g)