LangChain
By integrating large language models (LLMs) with external data, tools, and APIs, the open-source framework LangChain enables developers to create robust applications. For creating use cases such as chatbots, RAG (Retrieval-Augmented Generation) systems, autonomous agents, and question-answering applications, it offers modular components and end-to-end pipelines. By making it easier to integrate LLMs with sources such […]
- Pricing
- Freemium
By integrating large language models (LLMs) with external data, tools, and APIs, the open-source framework LangChain enables developers to create robust applications. For creating use cases such as chatbots, RAG (Retrieval-Augmented Generation) systems, autonomous agents, and question-answering applications, it offers modular components and end-to-end pipelines. By making it easier to integrate LLMs with sources such as databases, web content, PDFs, and vector stores, LangChain makes it possible to create dynamic and context-aware AI workflows. It is frequently used to quickly prototype and implement intelligent applications in both startups and large corporations.