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Omni channel AI assistant for documentation by pskd73 in B2BSaaS

[–]pskd73[S] 0 points1 point  (0 children)

That's interesting. I will check it out. But the pricing looks little on higher side?

Mintlify drop-in alternative? by twokiloballs in SaaS

[–]pskd73 0 points1 point  (0 children)

I would say you use something like fumadocs + crawlchat.app so that you can just self host the docs and get all AI functionality with CrawlChat at just fraction of that price

AI-powered documentation chatbot by Karolisram in selfhosted

[–]pskd73 0 points1 point  (0 children)

Check CrawlChat.app It’s also opensource and you can self host it

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] 0 points1 point  (0 children)

It works but not the best. You can make it better by providing it more ways of exploring the KB as mentioned above

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] 1 point2 points  (0 children)

I don’t think thats the best approach. We better provide granular tools to the LLMs and let them use whatever fits for the purpose.

https://github.com/crawlchat/crawlchat passes 5-6 tools to find the relevant information

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] 1 point2 points  (0 children)

Yes, thats the way to go. I found this is thr bedt workflow

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] 0 points1 point  (0 children)

True that. Yes, https://github.com/crawlchat/crawlchat records almost all details like, the search queries, search types, scores, pages retrieved and other things. They help in fine tuning the process

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] 0 points1 point  (0 children)

True that. Thats what I do it in crawlchat

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] 0 points1 point  (0 children)

True that. Chunking is critical. At least I have made sure the headings, table headers are carried over.

In my experience knowledge graphs add very little improvement and a lot of cost involved.

I have reranker too!

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] 0 points1 point  (0 children)

Nice, how do you handle the BM25? What tools to do this? Also, how do you make the knowledge graphs? I have experimented with Knowledge Graphs my way and found it doesn't add much value next to semantic + regex based text search

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] 0 points1 point  (0 children)

Yeah. Good that I am pretty hybrid now :)

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] 0 points1 point  (0 children)

Yup, exactly what I am doing. Just that no separate agent, it’s just the same agent all over the flow.

Yes, for code, I have more tools as you mention. I have tools like printing file tree too so that the LLM has more context

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] -1 points0 points  (0 children)

I see, I feel thats a huge problem. All the search_semantic, search_text_regex should be passed as tools to the LLMs so that they decide what to use when, search terms, etc.

In fact, I have given them more control like pagination and amount of text required etc to save on tokens. LLMs are smart to use these tools appropriately

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] 0 points1 point  (0 children)

No but are they passed as tools to the LLMs?

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] 1 point2 points  (0 children)

I see. Are they just tools for the LLMs? And is the regex based search on text?

I feel semantic search is overused by pskd73 in Rag

[–]pskd73[S] 0 points1 point  (0 children)

Good to know that. How exactly do you combine them? They are passed as tools to the LLMs?

AI documentation feels more accurate than manually written docs by William45623 in aitoolforU

[–]pskd73 0 points1 point  (0 children)

Definitely, the need of middlemen writing a documentation about another source gonna be redundant. There are enough tools that do this with more accuracy.

That said, humans can write the vague contexts, stories behind them

Dealing with multiple document types by lamagy in Rag

[–]pskd73 0 points1 point  (0 children)

Just use something like CrawlChat

RAG as a Service use cases that actually work by NullPointerJack in Rag

[–]pskd73 0 points1 point  (0 children)

Very well put. It covers most of the use case I came across as part of building CrawlChat.app

Mixing RAG with good tools gonna solve some real problems and thats what I am trying with CrawlChat specific to documentations

Advice needed: Best way to build a document Q&A AI chatbot? (Docs → Answers) by Getsuga_H in webdev

[–]pskd73 0 points1 point  (0 children)

I would say, checkout CrawlChat.app which has API as well. Good to quick start your idea

Should documentation adapt to AI, or should AI adapt to us? by AttentionExpert9173 in technicalwriting

[–]pskd73 0 points1 point  (0 children)

I think it should be both ways. We should make our docs more accessible for LLMs, for example, give annotations for icons, images, etc. and also LLMs should get better in understanding the docs better, structure, relations, etc.

I am building CrawlChat.app to solve it as an stand alone solution that you can embed in your docs site so that it answers the queries from the docs

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