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The assistant gets a bit to funny in it’s answers 😄  https://bitcrowd.atlassian.net/browse/INTERNAL-499
LLM frequently use Markdown to structure their output. sth like \
# lib/chatbot_web/live/chat_live.ex
# (..)
markdown_html =
String.trim(assigns.content)
|> Earmark.as_html!()
|> Phoenix.HTML.raw()
assigns =
assigns
|> assign(:class, "u-max-width-75 u-bg-white " <> justify_self)
|> assign(:markdown, markdown_html)
~H"""
<.ui_card id={@id} class={@Class}>
<%= @markdown %>
https://bitcrowd.atlassian.net/browse/INTERNAL-500
[#STEP-1-Generator](https://bitcrowd.dev/a-rag-library-for-elixir)
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This was referenced Mar 12, 2025
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See A RAG Library for Elixir
We want to turn
chatbot_exinto a RAG system that answers question about (ecto)[https://hex.pm/packages/ecto]. Out of the box,chatbot_exknows nothing about ectoTo do this, we first add
ragas dependency and runmix deps.get.This gives us four additional mix tasks:
Let's try the installer! As the
chatbot_exproject already has a postgres database, we go with thepgvectoras vector store.
This will generate a bunch of files into your project and update others. This PR shows the generated files. It's only to be used with the blog post :)