inet256 VS Typesense

My approach to hosting with Got has been to make it easy and secure for users to host from any machine.

INET256 solves that problem nicely. If you have access to an INET256 network, then all you have to do is swap addresses and two Got instances can communicate.

https://github.com/inet256/inet256

Also, end-to-end encryption is table stakes. Any data that leaves the user needs to be encrypted in transit, and if it hangs around away from the user, at rest.

I'm working on INET256, an API for secure identity based networking. The reference implementation, mesh256 is a mesh network using a distributed routing algorithm. There is also diet256, which is a centrally coordinated network with direct connections using QUIC over The Internet.

https://github.com/inet256/inet256

https://github.com/inet256/diet256

Thanks for sharing RocketGit. This is the first time I've heard of it, and yes, it does look like a cool copyleft solution to self-hosted Git.

Another interesting option is Brendan Caroll's got[0], which allows sharing of repositories over INET256[1]. I'm sure there are other P2P approaches to Git, but this one just piqued my interest. Unfortunately it has a naming conflict with OpenBSD's Game of Trees[2].

[0] https://github.com/gotvc/got

[1] https://github.com/inet256/inet256

[2] https://gameoftrees.org/

I'm working on INET256, a 256 bit network address space for easily and securely connecting applications.

https://github.com/inet256/inet256

- The API is focused around sending and receiving messages to addresses derived from public keys.

- Each application can have its own stable address.

- Runs as a daemon process which is configured with peering information. Additional network nodes can be spawned through the API.

- Can easily support arbitrary routing algorithms through a well defined interface.

- A TUN device (similar to CJDNS or Yggdrasil) is included as a separate application. (The IP6 Portal)

https://github.com/inet256/inet256

Developers, applications, and end-users are under-served by the network layer. INET256 provides necessary features (stable addresses, encryption) to client applications, which usually have to reimplement those features themselves.

There is an interface for address discovery [1] (finding transport addresses for peers you know about) and autopeering [2] (peering with peers you didn't know about beforehand). There is an unfinished branch for LAN broadcast discovery/autopeering. Contributions are definitely welcome here.

I had played around with a STUN transport, but the easiest way to connect has been to stand up a cloud VM with a static IP.

INET256 addresses use the same public key serialization as TLS, but they intentionally avoid the rest of the certificate infrastructure complexity. They make great leaves in a web of trust. You can sign them, or stick them in DNS records. And if you don't want to deal with any of that, fine, just swap addresses and you can communicate securely.

[1] https://github.com/inet256/inet256/blob/master/pkg/discovery...

> To me, this is the future. I wish we had a set of APIs to allow connecting to a public key instead of an IP address

INET256 is working on exactly that. It's a set of APIs for connecting to addresses derived from public keys.

https://github.com/inet256/inet256

Disregarding props-drilling technique in favor of a more reliable and elegant solution we looked for inspiration elsewhere. Another project of ours .find was using Typesense/Algolia components, which looked a bit like black-box/magic, but at the same time provided a clean approach to build complex and highly customizable solutions.

Have you ever tried to look up something, only to realise your search engine doesn't recognise your typos? Typesense to the rescue! It's a fast, typo-tolerant search engine built for an easier browsing experience. The latest version comes with new features such as built-in conversational search, image search, voice search, analytics, and more. Dive into the release notes for the full list of changes and enhancements.

There are actually plenty of non-ES products that are way easier to integrate and tune (and get better results with less effort).

- Typesense (https://github.com/typesense/typesense)

- Algolia

- Google Programmable Search Engine (https://programmablesearchengine.google.com/about/)

Typesense - Open Source Alternative to Algolia

If you like your penny take a look at Typesense https://typesense.org/ - nothing to complain here. Especially nothing complain about pricing.

I work on Typesense [1] (historically considered an open source alternative to Algolia).

We then launched vector search in Jan 2023, and just last week we launched the ability to generate embeddings from within Typesense.

You'd just need to send JSON data, and Typesense can generate embeddings for your data using OpenAI, PaLM API, or built-in models like S-BERT, E-5, etc (running on a GPU if you prefer) [2]

You can then do a hybrid (keyword + semantic) search by just sending the search keywords to Typesense, and Typesense will automatically generate embeddings for you internally and return a ranked list of keyword results weaved with semantic results (using Rank Fusion).

You can also combine filtering, faceting, typo tolerance, etc - the things Typesense already had.

[1] https://github.com/typesense/typesense

[2] https://typesense.org/docs/0.25.0/api/vector-search.html

For something small with a minimal footprint, I'd recommend Typesense. https://github.com/typesense/typesense

I haven’t used Publish, but I’d assume you could use something like https://typesense.org/ to index and search the vault.

A cheaper option would be to use https://typesense.org. You can use DynamoDb streams to automatically load records. It has worked well for me.