The “chain” in LangChain brings the idea of putting AI actions together in order to create a processing pipeline. Each action, or chain, is a needed step in the pipeline to complete the overall goal. For example, a RAG pattern starts with the user submitting a question. An embedding is...
This is often built using tools like LangChain and Semantic Kernel. The specifics of setting up a RAG pipeline go far beyond the scope of this article. Unless you're a developer working in this space, you're more likely to encounter RAG when it's employed in everyday apps like ChatGPT...
LangChain is not limited to out-of-the-box foundation models: theCustomLLMclass(link resides outside ibm.com) allows for custom LLM wrappers. Likewise, you can use theIBM watsonx APIs and Python SDK, which includes a LangChain integration, to build applications in LangChain with models that...
Many developers find LangChain, an open-source library, can be particularly useful in chaining together LLMs, embedding models and knowledge bases. NVIDIA uses LangChain in its reference architecture for retrieval-augmented generation. The LangChain community provides its owndescription of a RAG proces...
LangChain supports the creation of Retrieval Augmented Generation (RAG) systems with tools to transform, store, search, and retrieve information. Developers can create semantic representations of information using word embeddings and store them in local or cloud vector databases, which refine language mo...
它不能通过重用为 RAG 1.0 设计的 LLMOps 工具来编排,因为这些阶段是耦合的,缺乏统一的 API 和数据格式,并且存在循环依赖。例如,查询重写对于多跳问答和用户意图识别至关重要,涉及迭代检索和重写。在这里引入编排不仅没有必要,还可能干扰搜索和排名优化。这也部分解释了最近对 AI 编排框架 LangChain 的批评。
from langchain.indexes import VectorstoreIndexCreator loader = WebBaseLoader("https://www.promptingguide.ai/techniques/rag") index = VectorstoreIndexCreator().from_loaders([loader]) index.query("What is RAG?") Thus RAG addresses two problems with large language models: out-of-date training set...
What is LangChain? What is multimodal AI?How do AI prompts work? An AI prompt should provide explicit instructions to the LLM so it can generate more useful, accurate, complete responses. However, the prompt itself is only a part of the system. An AI model also uses natural language proce...
What is LangChain and how to use it: A guide LangChain is an open source framework that enables software developers working with artificial intelligence (AI) and its machine ... See complete definition What is retrieval-augmented generation (RAG) in AI? Retrieval-augmented generation (RAG) ...
Retrieval-augmented generation, commonly known as RAG, has been making waves in the realm of natural language processing (NLP). At its core, RAG is a hybrid framework that integrates retrieval models and generative models to produce text that is not only contextually accurate but also information...