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Update default configuration #32

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Aug 18, 2024
Merged

Update default configuration #32

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update logs
svilupp Aug 18, 2024
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add documentation
svilupp Aug 18, 2024
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5 changes: 4 additions & 1 deletion README.md
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Expand Up @@ -202,7 +202,7 @@ We apply a Retrieval Augment Generation (RAG) pattern, ie,

This ensures that the answers are not only based on general AI knowledge but are also specifically tailored to Julia's ecosystem and best practices.

The "knowledge packs" are sourced from documentation sites and then processed with DocsScraper.jl.
The "knowledge packs" are sourced from documentation sites and then processed with [DocsScraper.jl](https://github.com/JuliaGenAI/DocsScraper.jl).

> [!NOTE]
> If you would like to set up an automated process to create a new knowledge pack for some package/organization, let us know!
Expand Down Expand Up @@ -235,6 +235,9 @@ A: Tavily's API is used to search the best matching snippets from the documentat
**Q: Can we use Ollama (locally-hosted) models?**
A: Yes, see the Advanced section in the docs.

**Q: How can I build knowledge packs for my package(s)?**
A: Check out package [DocsScraper.jl](https://github.com/JuliaGenAI/DocsScraper.jl). It's what we use to build the knowledge packs loaded in this package!

## Future Directions

AIHelpMe is continuously evolving. Future updates may include:
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3 changes: 1 addition & 2 deletions src/pipeline_defaults.jl
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Expand Up @@ -156,7 +156,7 @@ function update_pipeline!(
@warn "Invalid configuration for knowledge packs! For `nomic-embed-text`, `embedding_dimension` must be 0. See the available artifacts."
end
if model_embedding == "text-embedding-3-large" &&
(embedding_dimension ∉ [1024, 0] || !isnothing(embedding_dimension))
!(embedding_dimension in [1024, 0] || isnothing(embedding_dimension))
@warn "Invalid configuration for knowledge packs! For `text-embedding-3-large`, `embedding_dimension` must be 0 or 1024. See the available artifacts."
end

Expand Down Expand Up @@ -184,7 +184,6 @@ function update_pipeline!(
## Update GLOBAL variables
MODEL_CHAT = model_chat
MODEL_EMBEDDING = model_embedding
@info embedding_dimension
EMBEDDING_DIMENSION = embedding_dimension

## Set the options
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