Upgrade Your AI Using Web Search - The Ollama Course

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AI Summary

Video Summary

Web Search Integration with AI Models

• Web search is crucial for AI models to interpret recent events.
• AI models cannot search the web independently; additional software is needed.

About the Presenter

• Matt Williams, former member of the AMA team, now runs a YouTube channel focused on local AI tools.

Introduction to Olama

• Olama is considered an easy and effective local AI tool.
• More information can be found on their website at ama.com.

Retrieval Augmented Generation (RAG)

• RAG compares a query to a vector store’s contents and generates a response.
• It is limited to the information already in the vector store.

Web Search with AI

• Web search requires an API to access search engines like Google, Bing, etc.
• Privacy concerns arise when using search engines directly.

Using SearXN for Privacy-Conscious Web Search

• SearXN is a meta search engine that obfuscates personal information.
• It can be hosted on a personal machine or externally, such as on Digital Ocean.
• SearXN is available as a Docker image and Docker compose files for customization.

Integrating SearXN with Olama

1. Obtain a search query from the user.
2. Use SearXN to get a list of relevant URLs.
3. Fetch and clean the text from the web pages.
4. Send the query and cleaned text to Olama for an answer.
5. Optionally, add the page to a vector store for faster future searches.

Practical Demonstration

• The presenter uses a news app to find current events and asks Olama for information.
• Olama provides summaries on a dock worker strike, Iran’s news, and Mexico’s new president.

Code Overview

• The code is written in TypeScript and involves fetching URLs, cleaning HTML, and generating answers.
• The source code is available on GitHub in the repo “video projects” under the folder with the date October 1st and titled “web search”.
• The project uses Dino, with more information available at doo.land.

Conclusion

• The presenter encourages viewers to consider how search can be integrated into their AI apps.
• Viewers are invited to share their experiences in the comments.

(Note: The summary is based solely on the provided text and does not include any additional information or URLs not explicitly mentioned in the transcript.)