Comments (4)
FluffyKebab
commented on August 26, 2024
1
I can start working on this.
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Struki84
commented on August 26, 2024
Hi! We touched briefly on the subject on discord, I saw there was some discussion (#21) about the tool we would use, Docusaurus then? :)
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tmc
commented on August 26, 2024
Hi! We touched briefly on the subject on discord, I saw there was some discussion (#21) about the tool we would use, Docusaurus then? :)
Yes!
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Struki84
commented on August 26, 2024
That would be awesome, I don't have any experience with Docusarus and how to set it up, (was looking into it)if you can do that, I can start adding content as soon as it's set up ;). I'm guessing we are going to copy the structure and format from py and js docs?
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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
- The endpoints of gpt-3.5-turbo-instruct model are different. HOT 1
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