LlamaIndex
Data framework for LLM apps and knowledge agents

Framework and platform for building LLM apps and agents
LangChain is nearly synonymous with building LLM apps, and its ubiquity and integration breadth are real advantages, especially for getting started and for LangGraph's agent orchestration. It has also drawn fair criticism for abstraction sprawl and churn; some teams find it easier to call model APIs directly. LangSmith, by contrast, is a genuinely strong observability and evaluation product that stands on its own even outside LangChain. Adopt the framework deliberately, and consider LangSmith regardless of which framework you use.
LangChain is a leading open-source framework for building LLM applications and agents (including via LangGraph), and LangSmith is its commercial platform for tracing, evaluation, and observability. The frameworks are free and the company monetizes primarily through LangSmith. LangSmith works with LangChain apps and non-LangChain apps alike.
LangChain is one of the most widely used open-source frameworks for building applications on top of large language models. It provides abstractions and components for chaining LLM calls, connecting to data sources and tools, managing memory, and, increasingly, building agentic workflows (including via its LangGraph library for stateful, multi-step agents). The framework is available in Python and JavaScript and integrates with virtually every major model provider, vector database, and tool. LangSmith is the company's commercial platform that complements the framework, focused on the production side of LLM development: tracing and debugging chains and agents, evaluating outputs against datasets, monitoring quality and cost, and managing prompts. It works with LangChain apps but also with applications that do not use the framework, positioning LangSmith as a general-purpose LLM observability and evaluation layer. The open-source frameworks are free (MIT-licensed), while LangSmith is the primary monetization path, with a free developer tier and paid per-seat plans plus usage-based tracing. LangChain the company has become one of the better-funded players in the LLM tooling space and competes with observability tools like Langfuse as well as broader agent frameworks.
LangChain is a leading open-source framework for building LLM applications and agents (with LangGraph for stateful agents), and LangSmith is its commercial tracing, evaluation, and observability platform. The frameworks are free (MIT) and LangSmith is the main revenue driver, with free and per-seat paid tiers. LangSmith works with LangChain and non-LangChain apps alike. The company raised a $125 million Series B in October 2025 at a $1.25 billion valuation.
LangChain was founded by Harrison Chase and grew rapidly alongside the LLM app boom, becoming one of the most recognizable names in the space. It offers both open-source frameworks and commercial products.
LangChain raised a $125 million Series B in October 2025 led by IVP at a $1.25 billion valuation, with participation from Sequoia, Benchmark, CapitalG, and others, bringing reported total funding to roughly $260 million. Reported ARR figures were in the mid-to-high tens of millions as of 2025.
The open-source stack includes LangChain (components for chains, tools, memory, and integrations) and LangGraph (stateful multi-step agents), available in Python and JavaScript with broad model, vector database, and tool integrations.
LangSmith provides tracing and debugging for chains and agents, evaluation against datasets, quality/cost/latency monitoring, prompt management, and team collaboration. It supports cloud and self-hosted/hybrid deployment and works with non-LangChain applications.
Developers and engineering teams building LLM-powered applications and agents who need a framework, an observability and evaluation platform, or both.
AI and application engineers building chatbots, RAG apps, and agents.
Engineering leaders adopting an LLM development and observability stack.
AI developer community, framework advocates, and MLOps engineers.
Teams building production LLM applications who want a mature framework ecosystem plus tracing and evaluation tooling.
Raised a $125 million Series B in October 2025 led by IVP at a $1.25 billion valuation; reported total funding around $260 million. Verify with the vendor.
Yes. The LangChain and LangGraph frameworks are open source under the MIT license and free to use. LangSmith, the observability and evaluation platform, has free and paid tiers.
No. LangSmith works with LangChain apps but also supports applications that do not use the framework, functioning as a general LLM tracing and evaluation platform.
LangGraph is LangChain's library for building stateful, multi-step agents as graphs, giving more control and reliability for complex agentic workflows than simple chains.
LangSmith has a free Developer tier, a Plus plan around $39 per user per month with a larger trace allowance and team features, and custom Enterprise pricing. Verify current rates with the vendor.
Both offer LLM tracing and evaluation. LangSmith is tightly integrated with the LangChain ecosystem and offered by the same company, while Langfuse is open source with a strong self-hosting story. Choose based on your framework and hosting preferences.
Side-by-side pages for pricing, features, and best-fit use cases.
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