Rag/errata #27
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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)
[#STEP-1-Generator](https://bitcrowd.dev/a-rag-library-for-elixir)
[#STEP-2-Custoisations](https://bitcrowd.dev/a-rag-library-for-elixir)
joelpaulkoch
added
BLOG POST EXAMPLE
xhr15
approved these changes
Mar 13, 2025
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See A RAG Library for Elixir
We want to turn
chatbot_exinto a RAG system that answers question aboutecto. Out of the box,chatbot_exknows nothing aboutecto.In Step one, we ran the generator.
In Step two, we removed the LLM serving as we will use Ollama to generate responses.
In Step three, we set everything up to ingest
ectointo our RAG system.In Step four, we integrated
ragwithlangchain.In Step five, we hooked up
telemetryto display the current activity of the RAG system to the user.This PR contains all the five steps and some additional fixes, so you're ready to play with it.