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llm-tools
A NodeJS RAG framework to easily work with LLMs and embeddings
1. Add Excel file to loader 2. Query loaders 3. Add same Excel file to loader (repeat process) 4. Query loaders In v0.77, two entires Duplicate ID's I would expect...
before it would add one to the loader list, now in v0.78 it adds 3 other duplicates. and on the debug console we get all this 1|platform | Error adding...
I have been considering this for a while now. The more loaders, LLMs and embedding models we add, the question becomes more and more important. Currently the library already separates...
If i need to switch a vector, i can switch dynamically based on the setVector and Path settingss and changing these to different values. The question is, loaders, for example...
not the same as add WebLoader, but LangChain has this hook to pass in a HTML page content, and some other settings. Under certain conditions this could be very userful...
From the facebook team, and seen as good for research and scalable/fast
Hey guys, I want to use streaming for OpenAI Models. How can I do that? Can you add this feature?
There should be support for audio, video and image inputs in addition to text
``` const ragApplication = await new RAGApplicationBuilder() .setModel(new HuggingFace({ modelName: 'timpal0l/mdeberta-v3-base-squad2'})) .setQueryTemplate('') .setVectorDb(new PineconeDb({ projectName: 'test', namespace: 'dev', indexSpec: { serverless: { cloud: 'aws', region: 'us-east-1', }, }, })) .setCache(new...
Might this be a useful feature to keep things more private as the query is passed to GPT's and other LLM's where the model is more tuned one the query...