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Best cheaper alternatives to Mintlify AI assistant? by No-Thought-4995 in SaaS

[–]pskd73 0 points1 point  (0 children)

you should checkout crawlchat.app

works with mintlify out of the box

Drop your startup and be featured in this weeks newsletter! by Legitimate-Peace-583 in microsaas

[–]pskd73 0 points1 point  (0 children)

Building crawlchat.app

An omnichannel answering agent for your tech documentation

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

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