Agentic Workflows
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Explore more → **Agentic Workflows**
What is Agentic Workflows?
Agentic Workflows involve the orchestration of multiple AI agents to collaboratively achieve complex tasks. These agents, each with specialized skills and knowledge, communicate, negotiate, and delegate sub-tasks to each other, mimicking human teamwork. This approach enables automation of intricate processes that require reasoning, planning, and adaptation, often used in areas like research, content creation, and problem-solving.
What other technologies are related to Agentic Workflows?
Agentic Workflows Complementary Technologies
R
RAG
Retrieval-Augmented Generation (RAG) can be used as a module within agentic workflows to enhance the context available to agents. RAG helps agents access and utilize up-to-date and relevant information.
LangChain
LangChain is a framework for developing applications powered by language models. It provides modules that are essential for creating agentic workflows, such as memory, tools, and chains.
L
LLMs
Large Language Models (LLMs) are a core component of agentic workflows, providing the reasoning and generation capabilities necessary for agents to perform tasks.
Number of organizations that mention technology
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Which job functions commonly mention Agentic Workflows?
AI Engineer
0.1% of all AI Engineer jobs mention Agentic Workflows
View 249
jobs on Sumble
Applied Scientist
0.1% of all Applied Scientist jobs mention Agentic Workflows
View 23
jobs on Sumble
Machine Learning
32 Machine Learning jobs mention Agentic Workflows
View 32
jobs on Sumble
Data Scientist
56 Data Scientist jobs mention Agentic Workflows
View 56
jobs on Sumble
Data, Analytics & Machine Learning
345 Data, Analytics & Machine Learning jobs mention Agentic Workflows
View 345
jobs on Sumble
Which organizations are mentioning Agentic Workflows?
Microsoft
Scientific and Technical Services
JPMorganChase
Finance and Insurance
Adobe
Scientific and Technical Services
Salesforce
Scientific and Technical Services
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