LangChain is an open-source framework in Python and JavaScript for creating LLM-powered applications using composable chain and agent abstractions. It is used for RAG pipelines, conversational AI, document Q&A, autonomous agents with tool use, and multi-step LLM workflows. By 2026, LangChain has become the most widely adopted framework for integrating LLMs with external data sources, APIs, and databases in production AI development.
Related LangChain Questions And Answers
- LangChain vs LlamaIndex: which is better for RAG applications in 2026?
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- What is the best tech stack to use with LangChain?
- When should a startup use LangChain vs the OpenAI API directly?
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Oleh focuses on EVM smart contract engineering and blockchain data pipelines, with ~3.5 years of commercial experience as a Blockchain Software Develo. He delivers production Solidity, TypeScript and Rust code for token flows... Read More
Nine years developing data science solutions across agritech, defence, fintech, and sports analytics. Built Quantum's entire DS department from scratch — hired over 30 people, created learning pathways, and mentored MSc and P... Read More
Pavlo mostly specialises in Backend development with a strong emphasis on quantitative analysis and data processing. With nine years of experience, he is proficient in Python, Node.js and JavaScript, utilising frameworks such... Read More
Victoriia is a skilled Flutter Developer with 4 years of experience in mobile application development. She specializes in frameworks such as Flutter, leveraging JavaScript, DART, and utilizes databases like MySQL and Firebase... Read More
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