工作流(workflows)是更为复杂的过程,它结合了一个或多个智能体(agent)、数据连接器和其他工具,以完成多步骤的任务。工作流是事件驱动的软件,可以整合 RAG 数据源和多个智能体,创建复杂应用程序,以执行各种复杂任务。 基于工作流创建的应用程序具备反思、错误纠正等高级特性,是先进 LLM 应用的标志。我们可以将工作流
Workflows can be visualized, using the power of type annotations in your step definitions. You can either draw all possible paths through the workflow, or the most recent execution, to help with debugging. First install: pip install llama-index-utils-workflow Then import and use: from llama_in...
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Github 地址:GitHub - run-llama/llama_index: LlamaIndex is the leading framework for building LLM-powered agents over your data. LlamaIndex 官方文档 LlamaIndex is the leading framework for building LLM-powered agents over your data with LLMs and workflows.LlamaIndex是使用LLM和工作流在数据上构建LL...
看看下面的内容中的迭代规划流程的代码:```(https://github.com/tomasonjo-labs/text2cypher_llama_agent/blob/main/app/workflows/iterative_planner.py) 基准 创建一个用于评估文本到ypher代理的基准数据集,感觉像是在LlamaIndex工作流架构中向前迈出的一大步,令人兴奋。
GitHub - karan-nanonets/llamaindex-guide Contribute to karan-nanonets/llamaindex-guide development by creating an account on GitHub. GitHubkaran-nanonetsAutomate manual tasks and workflows with our AI-driven workflow builder, designed by Nanonets for you and your teams.Get...
LlamaIndex requires compatibility checks and may involve a steeper initial setup process, but once configured, it integrates seamlessly with existing AI workflows. LangChain boasts a more user-friendly setup, with extensive support for APIs and libraries, simplifying integration into diverse AI ...
For RAG workflows in Amazon Bedrock, documents from configured knowledge bases go through preprocessing, where they are split into chunks, embedded into vectors, and indexed in a vector database. This allows efficient retrieval of relevant information at runtime. When a user query comes in, th...
[1] LangGraph: https://blog.langchain.dev/langgraph-multi-agent-workflows/ [2] GitHub: https://github.com/langchain-ai/langchain [3] GitHub: https://github.com/microsoft/semantic-kernel [4] GitHub: https://github.com/microsoft/autogen [5] LangChain文档: https://docs.langchain.com/do...
LlamaIndex requires compatibility checks and may involve a steeper initial setup process, but once configured, it integrates seamlessly with existing AI workflows. LangChain boasts a more user-friendly setup, with extensive support for APIs and libraries, simplifying integration into diverse AI ...