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The new LangGraph retrieval agent template from @LangChainAI and Elastic allows developers to build agentic apps with search quickly! Read more about it here: https://t.co/smV17oG9kO #ElasticsearchLabs #GenerativeAI
LangGraph helps in building multi-agentic workflow. - Wrote article on some of key learnings of building Agentic Workflow in Production and @LangChainAI 's course on LangGraph. - Link of the blog in threads @hwchase17 @OpenAI @paulg @karpathy @RLanceMartin
🤖 Data Enrichment Agent Template Open-ended research -> Structured Output (CSV, DB) is tedious, making it well-suited for agents. Here, show a new LangGraph agent template for this, automating web research and writing to any user-supplied schema. https://t.co/ZF5kNB0Q4T
LangChainAI has released new templates for LangGraph Studio, including options for both JavaScript and Python. These templates enable users to run local agents with configurable large language models (LLMs) quickly and make them available via LangGraph Cloud. The new Data Enrichment Agent Template automates web research and outputs structured data in CSV or database formats. Additionally, the LangGraph retrieval agent template, developed in collaboration with Elastic, facilitates the rapid development of agentic applications with search capabilities. The combination of TinyAgent and LangGraph.js enables the creation of multi-agentic workflows, potentially running entirely within a browser.
