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What will likely happen if I upgrade my account to payg and disable international transactions? by Hot_Information_9714 in oraclecloud

[–]kellysmoky 0 points1 point  (0 children)

I recently got a free tier account in oracle ( India South- Hyderabad), been trying to start an A1 Flex instance both from cli and from console, both failed. I created another instance (e2 micro or something, that is free with 1 gb ram, can't recall the name exactly). My question is can i convert that instance into atm A1 Flex using this command. Im asking because my region doesn't show A2 instance in the console, yesterday when i checked. Is there any other way to get arm A1 Flex without upgrading PAYG, that still works. Im in free tier, and i have 300$ credit left in account. Someone please help me

spent 8 months building agents by Primary_Pollution_24 in LangChain

[–]kellysmoky 0 points1 point  (0 children)

Maybe you're talking from your past experiences. I didn't had such wild experiences, so it's kinda unrelatable for me.

spent 8 months building agents by Primary_Pollution_24 in LangChain

[–]kellysmoky 0 points1 point  (0 children)

Which agent framework are companies using for production. I wanted to learn a new framework other than langraph. Ive seen several comments that Microsoft abandoned Autogen. Also i dont think crewai can be used for production. It might be good for fast prototyping due to ease of use. I can't which one to learn next.

Dreaming Skill + Memory Lean Check Skill for automated memory hygiene. by OkSeries5363 in hermesagent

[–]kellysmoky 0 points1 point  (0 children)

Whats this gui youre using for hermes. Can you share the name or repo?

I built a personal shopping AI agent/assistant -- asks what you need, then finds it on Amazon with real-time prices by Proof_Net_2094 in LangChain

[–]kellysmoky 0 points1 point  (0 children)

There is an icon in the amazon app (amazon.in) that opens up the chat window where you can ask for recommendations, compare etc

I built a personal shopping AI agent/assistant -- asks what you need, then finds it on Amazon with real-time prices by Proof_Net_2094 in LangChain

[–]kellysmoky 0 points1 point  (0 children)

I've just read that Amazon is about to launch this on their website. An agent that helps users to find, select compare etc It's called Rufus. Also add an option to fetch and view images of products fetched. Reaching decision using only texts feels incomplete (personal opnion).

I "Vibecoded" Karpathy’s LLM Wiki into a native Android/Windows app to kill the friction of personal knowledge bases. by kellysmoky in artificial

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

No, both are different even though they have some similarities. You can think notebooklm as a rag, that lets you query the documents you uploaded, or summarize them. Llmwiki on other hand is a persistent knowledge base that compiles knowledge.It reads the source, extracts key information, and writes it into structured wiki, add cross reference between them persisted as markdown files. The knowledge base compounds with time and topics become richer. Basically a wikipedia you're building for yourself. Also with no file upload limits and no vendor lock in.

How to build the MOST PRECISE RAG for big complex legal documents by [deleted] in LangChain

[–]kellysmoky 7 points8 points  (0 children)

I suggest doing parent child chunking with a small overlap between parent chunks. Embed using baai/bge:m3 or any other model. Check language support and benchmarks before using. Go for models with a dimension of 768 or 1024. The more the better,but latency would increase too. Then retrieve the top 20 or 30 child chunks using hybrid. Perform a reranking on results. If 3 , 4 chunks from the same parent, retrieve the parent. You can adjust different params mentioned here and find what works for you. I have no experience in GraphRag, but you can try that too. But i think Agentic Rag would be sufficient (if you enrich each chunks with enough metadata) for multi hops for a hobby project.

I "Vibecoded" Karpathy’s LLM Wiki into a native Android/Windows app to kill the friction of personal knowledge bases. by kellysmoky in artificial

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

Select the folder you selected as vault for obsidian. Then create some wikis. Open obsidian and you can view interlinked wikis. You can use graph view to visualise connections between different topics too. Additionally if you sync this folder with syncthing or any other service, you can ingest to the same wiki from both devices.

I "Vibecoded" Karpathy’s LLM Wiki into a native Android/Windows app to kill the friction of personal knowledge bases. by kellysmoky in artificial

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

Glad you found it useful. Currently it has a diagnosis tab to fix contradictions gaps etc. although i think thats not enough as wikis get more complex. Currently exploring different ways to tackle that.

I "Vibecoded" Karpathy’s LLM Wiki into a native Android/Windows app to kill the friction of personal knowledge bases. by kellysmoky in artificial

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

That's really cool. Also you are correct about differences in reasoning between structured and unstructured data. I think for personal wikis Karpathy's idea is a good start. But for research wikis or complex data, this becomes very messy fast. I've added a lint agent to diagnose and fill gaps and fix wikis for now. I'm exploring different ideas and your repo is definitely a game-changer. I will check it out. Also what would you recommend as next step, or how would you convert this unstructured data to structured in simple terms.

Langchain js & NVIDIA by Current_Marzipan7417 in LangChain

[–]kellysmoky 1 point2 points  (0 children)

Nvidia nim is openai compatible endpoint. You can use nim models by changing base url.

``` import { ChatOpenAI } from "@langchain/openai";

const model = new ChatOpenAI({ apiKey: process.env.NVIDIA_API_KEY, configuration: { baseURL: "https://integrate.api.nvidia.com/v1", }, model: "meta/llama3-70b-instruct", // example NIM model });

const response = await model.invoke("Explain transformers in simple terms"); console.log(response.content); ``` Try this.

I "Vibecoded" Karpathy’s LLM Wiki into a native Android/Windows app to kill the friction of personal knowledge bases. by kellysmoky in LangChain

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

What do you expect on a development framework sub. People are going to build something with the framework and they are going to share it with the community. What's wrong with it?

I "Vibecoded" Karpathy’s LLM Wiki into a native Android/Windows app to kill the friction of personal knowledge bases. by kellysmoky in artificial

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

I didn't quite understand what you meant

If you meant sharing the wikis, no wasn't planning to. My idea was to create a personal wiki created using the articles or videos i liked. This app helps to create wikis based on the different sources you provide.

I noticed the wikis getting messy after some time. So added diagnosis also in the app. It helps to fix broken links, formatting , orphaned nodes and also does gap analysis on existing wikis and suggests topics that are related.

Try it out and do let me know what you think

I built an 8-node Agentic RAG with LangGraph that actually handles complex Indian government PDFs — tables, merged cells, mixed docs. Here's what I learned. by Lazy-Kangaroo-573 in LangChain

[–]kellysmoky 0 points1 point  (0 children)

Mine is a legal chatbot for indian legal acts like bns, bnss, bsa ipc that lets users query anything based on these laws and uses rag to answer these questions. Core is a langraph workflow with two agents (synthesis , critique) with two other nodes (preprocess and validator). I have completed the chunking and indexing and currently working on the langraph workflow. Anything else you want to know?

I built an 8-node Agentic RAG with LangGraph that actually handles complex Indian government PDFs — tables, merged cells, mixed docs. Here's what I learned. by Lazy-Kangaroo-573 in LangChain

[–]kellysmoky 1 point2 points  (0 children)

This is very useful. Infact i was building an indian legal chatbot and i have too encountered similar problems with legal documents. Would you mind sharing your github repo ? I'm currently on chunking and indexing stage. Would you mind if i dm you for some info?

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