Checkout the Advanced RAG course here: prompt-s-site.thinkific.com/courses/rag
@criticalnodecapitalАй бұрын
thanks.. Can you become the ISHOWSPEED of AI. also are you based in USA or Subcontinent?
@engineerpromptАй бұрын
@@criticalnodecapital haha, that would be a good achievement :D I am based in the USA.
@unclecodeАй бұрын
So clear and simple compared to other libraries for building genetic pipelines. Intuitive and feels like it should've been in Hugging Face libraries from the start. Makes other libraries seem overly complex and unnecessary. Easy to create an LLM engine with just a callable class. You can build any structure, with complexity only from yourself, not the library. Not surprising from Hugging Face, just like how fine-tuning models with HF library is intuitive and easy. Love a simple, powerful library that doesn't over-abstract. This is the way. Thanks for sharing.
@engineerpromptАй бұрын
Yeah, really like their implementation. Clean and straightforward.
@olympiasaha7165Ай бұрын
It would have been interesting to see if you would have used GPT-4o as the LLM engine in the traditional RAG method to compare it with the agentic RAG response.
@anubisaiАй бұрын
Agentic RAG + Knowledge Graph would be bad ass. Someone steal my idea, please. 😂 🙏
@severian4228 күн бұрын
working on it!!!!
@dulinak625126 күн бұрын
@@severian42 any updates?
@johnathanbell699217 күн бұрын
Any updates?
@BamiCakeАй бұрын
In your video the agentic rag takes about 4 times longer (15 sec). Is there a way to speed up agentic rag?
@engineerpromptАй бұрын
Unfortunately, using agents in the loop with take longer than standard RAG since it has to make additional calls to the LLM and do retrieval again. Over time you can cache queries and responses for faster retrieval.
@legendchdou9578Ай бұрын
Great video can we use GROQ API for the LLM?
@Parthi9728 күн бұрын
It depends upon the prompt message you give.. Yes we can utilize GROQ models for simpler agentic RAG process
@nobody84980Ай бұрын
Why do I need an agent when I can add the agent description as a system prompt
@engineerpromptАй бұрын
Agent has the ability to do multiple passes of retrieval if it's not able to find the info in the first pass. If you add this to the system prompt, I will just run once and can't repeat the process with reasoning and Planning.
@barackobama4552Ай бұрын
THANKS!
@paragshah2943Ай бұрын
OP, Under what circumstances might you have duplicate chunks? Is it becuase two files that are same with differnt names?
@engineerpromptАй бұрын
Yes, that happens a lot. In big datasets, there can be duplicates.
@sauxybanana2332Ай бұрын
how does this compare to graph rag?
@iukeay23 күн бұрын
It really depends on your use case. GraphRDF is currently ten to twenty times more expensive. Also, depending on the type of data and the type of query, it could be useful for you or not. It also increases lag by a very substantial margin. I have not found any startups or ideas implementing graph-lag effectively and usable yet. If you do, please keep me in the loop.
@CreativeEngineering_Ай бұрын
I dont remember the last time I had and issue with hallucinations.
@nichtverstehen204519 күн бұрын
those silly comments like "Import necessary modules" or "Set up logging" make me sick. i stopped watching once i saw them.
@finalfan321Ай бұрын
too technical. where are friendly user interfaces websites/apps?