This project aims to compare different Retrieval-Augmented Generation (RAG) frameworks in terms of speed and performance.
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Updated
Jul 28, 2024 - Python
This project aims to compare different Retrieval-Augmented Generation (RAG) frameworks in terms of speed and performance.
Agentic RAG using Crew AI
Automate complex business workflows with our Multi-AI-Agent Systems using crewAI. This framework leverages autonomous, role-specific AI agents to collaboratively perform multi-step tasks, enhancing efficiency and accuracy across various domains. Ideal for applications in resume tailoring, website design, research, customer support, and more.
Supercharge your AI workflows by combining Anyparser’s advanced content extraction with Crew AI. With this integration, you can effortlessly leverage Anyparser’s document processing and data extraction tools within your Crew AI applications.
A Blog Agent with CrewAI is an AI-powered team that automates blog creation. It includes agents for research, writing, editing, and publishing—working together for efficient content generation. 🚀
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