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RAG Is Simpler Than You Think

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Re: RAG Is Simpler Than You Think

#41

Post by EGreg »

jrochkind1 wrote: post #37

More LLM-generated text about LLMs. Is anyone else actually finding it harder and harder to read LLM generated text? I find it quite tiring, my brain just does not want to get through it.

It’s largely because LLMs are reaching for many different types of adjectives or verbs in the same sentence, in a jarring way. While embedding it in a confidently declarative sentence. Everything sounds like some profound insight, dialed to an 11, but written as poetry. Especially those headings. With the short sentences.

Re: RAG Is Simpler Than You Think

#44

Post by allexander »

EGreg wrote: post #41
jrochkind1 wrote: post #37

More LLM-generated text about LLMs. Is anyone else actually finding it harder and harder to read LLM generated text? I find it quite tiring, my brain just does not want to get through it.

It’s largely because LLMs are reaching for many different types of adjectives or verbs in the same sentence, in a jarring way. While embedding it in a confidently declarative sentence. Everything sounds like some profound insight, dialed to an 11, but written as poetry. Especially those headings. With the short sentences.

I have to agree with you. Yet it is tiring, people don't even try anymore.

Re: RAG Is Simpler Than You Think

#45

Post by pixelbro »

jrochkind1 wrote: post #39
bob1029 wrote: post #15

Agentic query rewrite on top of good old fashioned Lucene is the end game. This is effectively providing a lot of the same magic you get with the semantic approach. Allowing the agent to query the document store iteratively is where the capabilities become unbounded. Embeddings and semantic search add non determinism on top of non determinism. This seems fundamentally cursed. Lexical is much easier to control, iterat…

[flagged]

I've not seen such a clipped cadence out of an LLM. I would not automatically suspect the GP. Maybe there's better ways to spend your time?

Re: RAG Is Simpler Than You Think

#46

Post by gabosarmiento »

I would like to see how each recipe performs against its corresponding evals. Some sort of ranking would be useful.

Everyone keeps posting articles about how to implement RAG, but I also wonder why there isn’t some sort of skill to help people create a simple retrieval plan, starting with the retrieval methods and connecting them with evals. This could show whether they actually improve the result and make retrieval simpler for any agent, instead of making people start from zero.

Re: RAG Is Simpler Than You Think

#47

Post by whilenot-dev »

jon-wood wrote: post #35
kaon_2 wrote: post #33

Earlier quoted context omitted.

Can you elaborate? We have technicians searching in different languages. Also our knowledge base is often in different languages. I just don't see how full text search can work? Maybe in a problem space like a wiki where people always know what to search for?

Instinctively this feels like a two phase problem - start with some machine translation into a single spoken language and index that, then when people are querying do the same thing. When returning search results show them in the original language.

Why not create indexes for multiple languages, as that would also avoid double translation issues (e.g. GER [query] → ENG [index] → GER [document])?

Re: RAG Is Simpler Than You Think

#48

Post by kaon_2 »

jon-wood wrote: post #35
kaon_2 wrote: post #33

Earlier quoted context omitted.

Can you elaborate? We have technicians searching in different languages. Also our knowledge base is often in different languages. I just don't see how full text search can work? Maybe in a problem space like a wiki where people always know what to search for?

Instinctively this feels like a two phase problem - start with some machine translation into a single spoken language and index that, then when people are querying do the same thing. When returning search results show them in the original language.

Yes we've tried. It works. But jargon is hard. RAG with embeddings works all the same. The LLM doesn't mind receiving sources in Italian, french and German, and then outputting the answer in Japanese while providing the verbatim German jargon term in brackets

Re: RAG Is Simpler Than You Think

#49

Post by tantalor »

kaon_2 wrote: post #33
usernametaken29 wrote: post #27

I worked on large scale RAG systems before and can say people vastly underestimate full text search and vastly overestimate embeddings. FTS is really easy, portable and scalable and gets you very far, the 80/20 rule applies. Embeddings appear to be nice and magic but when you really get into them you notice: semantic similarity isn’t as good as you think and certainly it won’t make everyone happy. You will inevitably…

Can you elaborate? We have technicians searching in different languages. Also our knowledge base is often in different languages. I just don't see how full text search can work? Maybe in a problem space like a wiki where people always know what to search for?

FTS like Elasticsearch supports cross-language (also called multi-language) search.

Re: RAG Is Simpler Than You Think

#50

Post by Zambyte »

Lorean1 wrote: post #36
vaylian wrote: post #32

Earlier quoted context omitted.

A hyperlink to Wikipedia would have solved that issue.

Maybe if a person can't even google RAG they are not the intended audience of that article.

Eh, a healthy web is a web. I enjoy my preferred search engine, but surfing the web is becoming a lost medium.
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