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itstomo

Team Documentation (GDrive vs. Markdown)

How does your team manage your team documentation? At work we use Google Docs and its MCP, and most of my colleagues use Codex to write any documents. For my side projects, we use markdown in repo mostly.Curious what your team uses for primary documentation for day to day work.

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Open Source Multimodal Semantic Search

I've developed a framework for multimodal semantic search (RAG), which orchestrates MongoDB, Pinecone, S3 bucket, LLM API, etc.If you are not too familiar with "semantic search," think of it as RAG.To enable semantic search for text, image, etc, we need to pre-process our data before sending it to the database.My framework works as a middle layer between your app and existing databases, where...

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Re:Pocket LLM Server Just Like a Pocket WiFi on Tuesday July 15, 2025 @10:14PM (#44578033)
Looks like the hardware needed to run state-of-the-art open source LLM will be ~100kg... haha It's not feasible today. Someday!

Pocket LLM Server Just Like a Pocket WiFi

Hey HN,If there is a pocket-sized compact hardware that hosts large-size open-source LLMs that you can connect offline, wouldn't it be helpful?The benefits:- You can use large-size open-source LLMs without using up your PC or smartphone's compute- You can protect your privacy- You can use high performance LLM offline

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The only multimodal database with semantic search capabilities

I'm developing a truly multimodal database by document db, object storage, and vector db into a nicely unified interface.Traditionally, text and other media files such as images, video, and audio are treated separately requiring developers to set up pipeline to deal with multi modalities in their app.Moreover, when they need semantic search capabilities over their multimodal data, they need to...

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Re:Self-Evolving AI on Sunday April 27, 2025 @02:24PM (#43814023)
What fantasy? I mean only things that are possible are possible. There is no fanstasy.

Self-Evolving AI

chat AI (2023) -> -> AI agent (2204) -> MCP (early 2025) -> ??? (2025~)So... for an AI agent to be truly self-evolving, it has to have access to modify ITSELF, not only the outside world that it interacts with. This means that it has to be able to modify its source code by itself.To do this, the most straightforward way is to give the AI a whole server to run itself, with the...

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Product Hunt Is Staged

Product Hunt is staged and stolen. You can visit PH at 12am (PST) and see 10 products that get 50 upvotes immediately after launching.If you don't buy upvotes, you'll be wiped out from the top list and won't even be viewed by users.You can search and find a website where you can buy 50 upvotes for $399.

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Give a whole server to an agent with the full permission of doing whatever

2023 was a year of pure upgrade of LLM models. 2024 was a year of improvements with more complex reasonings. 2025 might be the year of self-evolving AI agents with the capabilities of installing, subscribing to SaaS, paying hosted database by itself etc.Setting ethical considerations aside for the moment, I think it can be interesting to see what happens if we have a whole server with a...

( Read More... | 6 comments | 3 points | on HN )

Make LangChian more database oriented

The current LangChian approach is framework-oriented, which treats frameworks themselves as the central part of the system and databases as a sub-part of the system. This gives a higher level of abstraction but a lower level of flexibility because we will have less database-like operation, which has more flexibility.This is one of the main reasons why people are complaining about the complexity...

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Re:Ask HN: What Motivates you to keep going? on Wednesday December 25, 2024 @12:31AM (#42507058)
The fear of not achieving something is often slightly greater than the fear of doing something hard.
Re:AI Computer Interface (ACI) on Monday December 23, 2024 @09:57PM (#42499374)
Hi, thank you for your feedback.

Tool calling is very helpfull when humans can manually define those functions. However, it's also very limited because humans have to define those functions manually unless the function is very simple without any external resources such as accessing an external API with API keys, etc.

Someday, we'll have AI agents that work like our secretaries or employees. But just like a CEO doesn't have to know how to use all the apps that his employees use, some apps would be created only for AI agents. In such a scenario, the interface of these apps would look very different from HCI. For example, they most likely wouldn't use vision or sound as a part of the main UI, unlike HCI.

Interestingly, most apps can be re-rewritten as a Decision Tree. If you push this button you'll be navigated to this page, where a different list of actions is available, etc. I think an AI-Computer Interface if it is ever invented, might look like a text-based Decision Tree without vision or sound unless they are absolutely necessary.

AI Computer Interface (ACI)

Hi Hacker News,What do you think about "AI-Computer Interface"?Let me explain a bit. "Human-computer interface (HCI)", was first developed around WWII. Since then it evolved so much and today we have very sophisticated and intuitive interfaces.It's the AI era, and there are so many projects and products trying to automate various tasks that humans are doing. However, main approach is to try to...

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Show HN: A Fusion of MongoDB and Pinecone

Integrating a robust RAG system into my application was more challenging than I anticipated. While excellent databases and frameworks are available, the process was far from straightforward. Vector databases served as a strong foundation, but mapping vectors to corresponding resources became tedious unless I embedded all metadata into the vector storage - an approach I found less than...

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