サクサク読めて、アプリ限定の機能も多数！
トップへ戻る
今年の「#文学」
python.langchain.com
LangChain Expression Language, or LCEL, is a declarative way to easily compose chains together. LCEL was designed from day 1 to support putting prototypes in production, with no code changes, from the simplest “prompt + LLM” chain to the most complex chains (we’ve seen folks successfully run LCEL chains with 100s of steps in production). To highlight a few of the reasons you might want to use LCEL
Use caseSuppose you have a set of documents (PDFs, Notion pages, customer questions, etc.) and you want to summarize the content. LLMs are a great tool for this given their proficiency in understanding and synthesizing text. In this walkthrough we'll go over how to perform document summarization using LLMs. OverviewA central question for building a summarizer is how to pass your documents into t
All functionality related to Google Cloud Platform and other Google products. Chat modelsWe recommend individual developers to start with Gemini API (langchain-google-genai) and move to Vertex AI (langchain-google-vertexai) when they need access to commercial support and higher rate limits. If you’re already Cloud-friendly or Cloud-native, then you can get started in Vertex AI straight away. Plea
If you'd like to write your own integration, see Extending LangChain. If you'd like to contribute an integration, see Contributing integrations. LangChain integrates with many providers. Integration PackagesThese providers have standalone langchain-{provider} packages for improved versioning, dependency management and testing. ProviderPackageDownloadsLatestJS
This section contains introductions to key parts of LangChain. ArchitectureLangChain as a framework consists of a number of packages. langchain-coreThis package contains base abstractions of different components and ways to compose them together. The interfaces for core components like LLMs, vector stores, retrievers and more are defined here. No third party integrations are defined here. The de
LangChain is a framework for developing applications powered by large language models (LLMs). LangChain simplifies every stage of the LLM application lifecycle: Development: Build your applications using LangChain's open-source building blocks, components, and third-party integrations. Use LangGraph to build stateful agents with first-class streaming and human-in-the-loop support.Productionization
このページを最初にブックマークしてみませんか？
『Introduction | 🦜️🔗 LangChain』の新着エントリーを見る
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
