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LangChain, an open-source framework for building applications with large language models (LLMs), has released LangChain Templates. These templates are easily deployable reference architectures that allow users to create, share, download, and customize chains and agents. DataStax is partnering with LangChain to make it easier for developers to put Gen AI applications into production. Astra DB can now be selected as a vector store when building RAG applications with LangChain. LangChain offers a standard interface for LLM interaction and a range of tools to enhance application performance and flexibility.
🔥 LangChain is an open-source framework that makes it easy to build applications with large language models (LLMs). It offers a standard interface for LLM interaction and a range of tools to enhance application performance and flexibility. LangChain can be used to build a wide… https://t.co/FoHDZnikxR https://t.co/2FeMwFjBj1
Did you know you can select Astra DB as a vector store when building RAG applications with @LangChainAI? Learn how to get started: https://t.co/dftfoYssHY #VectorDB #LangChain #LLMs #RAG https://t.co/jDyvMCDuGR
🦜🔗 Learn about chains, prompt templates, memory, and agents in LangChain in this comprehensive guide—complete with examples! https://t.co/gaoYjEgrGB
⛓ We're linking up with @LangChainAI to make putting Gen AI applications into production easier for developers. Learn more via @ABridgwater in @ComputerWeekly: https://t.co/LsRZFbMikj #DataStax #LangChain #VectorStore https://t.co/3h1JsyE4uP
Build LLM apps️ ⚡️faster⚡️ with @LangChainAI Templates and Astra DB! We're excited to be a launch partner for LangChain's new, easily deployable reference architectures. https://t.co/QklU3u0v5o #DataStax #VectorStore
🦜🏗️LangChain Templates Today we're excited to announce the release of ✨LangChain Templates✨ - a collection of easily deployable reference architectures for a wide variety of tasks This is a new way to 🖌️create, 🤝share, ⏬download, and 💱customize chains and agents ❓How… https://t.co/9441CUzL4a https://t.co/hrN0lRBKIV