Building a Web-Enhanced Self-Reflecting Agent with Haystack Llama 3.2 and Ollama in Google colab

Building a Web-Enhanced Self-Reflecting Agent with Haystack Llama 3.2 and Ollama in Google colab

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Building a Web-Enhanced Self-Reflecting Agent with Haystack Llama 3.2 and Ollama in Google colab Sahin Ahmed, Data Scientist · Follow 8 min read · Just now Introduction In this tutorial, we’ll explore how to build a web-enhanced, self-reflecting agent leveraging Haystack , Llama 3.2 , and web search capabilities. This agent dynamically retrieves information from indexed documents and the web to answer complex queries with enhanced accuracy. By following this step-by-step guide, you’ll create a scalable, modular AI system that combines retrieval, generation, and decision-making for applications like knowledge assistants, chatbots, and research tools. Tools and Technologies Environment : Colab for running the code. Libraries : Haystack : For building the retrieval-augmented pipeline. Ollama : For integrating and utilizing the Llama 3.2 language model. To run Ollama with models […]

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