Comments (8)
Going to set this up on something locally and get familiar https://gohugo.io/hosting-and-deployment/hosting-on-github/
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We should use the best tool that gets us an experience like the other sites. I prefer a go based tool for sure but am not going to be dogmatic about it.
edit: Updated issue indicating the technologies the python and ts implementations use. I'd love to use hugo but someone needs to demonstrate that it's going to work well.
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Another tools is Vitepress, it's a is battery-included site generator for technical docs. take a look at : https://vitepress.dev/
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I think a go project lends itself for documentation in go without introducing another toolchain
from langchaingo.
Maybe we could clarify the needs beforehand. There are two different documentation areas I guess: the package API (godoc) and the "user guide".
Additionally, something like this might be useful:
What I missed with hugo was a good documentation template but I just found this one: https://themes.gohugo.io/themes/doks/
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I like https://themes.gohugo.io/themes/docsy/ but we'd need some theming to match the existing docs sites (https://python.langchain.com/en/latest/, https://js.langchain.com/docs/).
I think we should go Hugo+Docsy+(custom theming) or Docusarus.
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@tmc My 2 cents.
Docusaurus is pretty straight forward and will match the docs site like here: https://js.langchain.com/docs/ as it seems like pretty much OOB theme.
The time would be well worth spending on implementing core features than having a customized theme IMO.
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@tmc My 2 cents.
Docusaurus is pretty straight forward and will match the docs site like here: https://js.langchain.com/docs/ as it seems like pretty much OOB theme.
The time would be well worth spending on implementing core features than having a customized theme IMO.
Yeah I've come to agree. Docusaurus it is!
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Related Issues (20)
- add fastembed-go
- Langchaingo can't handle latest embedding models HOT 1
- `memory.ConversationTokenBuffer` apparently doesn't consider the llm type to count tokens
- Ollama Package: Not handling context timeout issues on streaming response. HOT 2
- Azure openAI models
- docker-compose fails in pgvector-vectorstore-example with "The Compose file is invalid" error HOT 1
- [Improvement] TextSplitter: return chunk start and end position
- Unable to send BinaryPart to OpenAI Completions API
- Only the first tool is recognized
- Langchainjs formally supports Ollama functions. Can you support that too? HOT 7
- anthropic: add means to supply anthropic-beta header
- bug: SimilaritySearch with scoreThrehold not works with PgVector. HOT 2
- Support OpenAI structured outputs API HOT 1
- Provide supported model
- Custom multi-input tools HOT 3
- Suggestion: Refactoring LLMs Option Handling for Improved Clarity and Consistency
- [Improvement] Qdrant Store should allow the user to specify the wait condition when adding documents HOT 1
- Anthropic does not handle null content elegantly (panics)
- openai: use ollama in test
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