[GH-ISSUE #70] Chat with your website for content creators #390

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opened 2026-03-13 20:14:21 +03:00 by kerem · 2 comments
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Originally created by @AJaySi on GitHub (May 15, 2024).
Original GitHub issue: https://github.com/AJaySi/ALwrity/issues/70

Originally assigned to: @AJaySi on GitHub.

Usecases:

1). As content creator, its difficult to remember all blogs as the content increases.
2). Internal linking becomes difficult, keyword cannibalization becomes a problem.
3). Plagiarism becomes a problem.
4). Finding new content ideas becomes difficult.

If Alwrity can store/embed all the website content, it will know which content to write, link to and guard against plagiarism etc.
Alwrity should provide an interface to chat with any website by providing its sitemap.

Enter https://github.com/embedchain/embedchain
Embedchain seems promising to build usecases for content creators.

Originally created by @AJaySi on GitHub (May 15, 2024). Original GitHub issue: https://github.com/AJaySi/ALwrity/issues/70 Originally assigned to: @AJaySi on GitHub. Usecases: 1). As content creator, its difficult to remember all blogs as the content increases. 2). Internal linking becomes difficult, keyword cannibalization becomes a problem. 3). Plagiarism becomes a problem. 4). Finding new content ideas becomes difficult. If Alwrity can store/embed all the website content, it will know which content to write, link to and guard against plagiarism etc. Alwrity should provide an interface to chat with any website by providing its sitemap. Enter https://github.com/embedchain/embedchain Embedchain seems promising to build usecases for content creators.
kerem 2026-03-13 20:14:21 +03:00
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@AJaySi commented on GitHub (May 15, 2024):

First usecases to include is: https://docs.embedchain.ai/use-cases/semantic-search

<!-- gh-comment-id:2112295541 --> @AJaySi commented on GitHub (May 15, 2024): First usecases to include is: https://docs.embedchain.ai/use-cases/semantic-search
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@AJaySi commented on GitHub (May 15, 2024):

I have been staying away from RAG and embedding in favour of larger context window:

https://blog.google/products/gemini/google-gemini-update-may-2024/#context-window
And now Gemini 1.5 Pro brings you our latest technical advances, including a greatly expanded context window starting at 1 million tokens — the longest of any widely available consumer chatbot in the world. A context window this long means Gemini Advanced can make sense of multiple large documents, up to 1,500-pages total, or summarize 100 emails. Soon it will be able to handle an hour of video content or codebases with more than 30,000 lines.

<!-- gh-comment-id:2112836314 --> @AJaySi commented on GitHub (May 15, 2024): I have been staying away from RAG and embedding in favour of larger context window: https://blog.google/products/gemini/google-gemini-update-may-2024/#context-window `And now Gemini 1.5 Pro brings you our latest technical advances, including a greatly expanded context window starting at 1 million tokens — the longest of any widely available consumer chatbot in the world. A context window this long means Gemini Advanced can make sense of multiple large documents, up to 1,500-pages total, or summarize 100 emails. Soon it will be able to handle an hour of video content or codebases with more than 30,000 lines.`
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