Short, crisp and clear! Another amazing video

@codingcrashcourses8533

3 ай бұрын

thank you! Follow up video about routing DBs will be released on thursday.

Yes, finally, thank you marcus

Please continue uploading these. I was following your old LangChain videos before LCEL and now I still find LCEL a bit confusing. Can you make a video on what exactly is runnable and the differences? RunnableLamda, RunnablePassthrough and any other runnables etc...

@codingcrashcourses8533

3 ай бұрын

Yes :). Will so that

Amazing! Thanks📍

@codingcrashcourses8533

3 ай бұрын

Follow up Video is released today

This is the clearest video out there about routing with LangChain. Amazing, thank you! Would you say it is possible to fine-tune a model to become better at classifying so that I can use your second method (LLM-based classification) on top of that fine-tuned model?

Can I request a video about Embeddings..? Without using OpenAi embeddings but with others free APIs like huggingface etc.. I am really struggling with embeddings these days. Hoping to see it.❤🤗

@codingcrashcourses8533

3 ай бұрын

Currently not planned, sorry. My embeddings related videos hardly got any views in the past.

In the part about cosine similarity, I have 2 questions: 1) Why did you use cosine similarity and not dot product for instance or any other method? 2) Shouldn't be there a certain threshold value that u can put to determine how close are they?

@codingcrashcourses8533

3 ай бұрын

1. Cosine similarity seems to be best suited as far as I know. This is what I read in multiple papers and is my default. 2. Thresholds are hard to define since values depend on what you ask. A better approach is to perform some kind of reranking

this is awsome how can we add vectorstore to it? and can you modify this according to this output code "self_query_retrieval_chain = ( {"context": itemgetter("question") | self_query_retriever, "question": itemgetter("question")} | RunnablePassthrough.assign(context=itemgetter("context")) | {"response": rag_prompt | chat_model, "context": itemgetter("context")} )"

@codingcrashcourses8533

2 ай бұрын

Please check out my follow up video. Everything is explained there :)

How do you think this pairs up against something like Langgraph?

@codingcrashcourses8533

2 ай бұрын

Will have to dive into langgraph first:)

Since langchain is alwyas changing, can you please show us at the start of every video what version you're using? Thanks

@codingcrashcourses8533

3 ай бұрын

There is a requirements file in my repo

@rajahaxeeb

3 ай бұрын

@@codingcrashcourses8533 Can you please share repo/code link?