spyglass VS tika-docker

No direct experience but I saved some links about this:

https://wiby.me/about/guide.html

https://github.com/spyglass-search/spyglass

https://yacy.net/

Interesting thread(s) on HN about the last one:

https://news.ycombinator.com/item?id=32597309

I've been working on a self-hosted personal search app (https://github.com/spyglass-search/spyglass) and have recently been playing around with how to integrate it with local LLMs. I think this would be an awesome step into having your own personal assistant that can search through all your data and give you analysis / summaries.

We have an open-source desktop app (https://github.com/spyglass-search/spyglass) and are working on a web version that has more powerful features such as conversation search, check it out!

I'm one of the devs for Spyglass ([https://github.com/spyglass-search/spyglass](https://github.com/spyglass-search/spyglass)) an open-source personal search app. We're excited about all the advancements with language models recently and wanted to try merging the two ideas together to form something even better.

Another more recently available option is spyglass; it is more tenable than YaCy but dev is mostly on MacOS with focus on a desktop interface. I like the idea of web based interface.

I'm part of small team that's been building an open-source personal search engine (https://github.com/spyglass-search/spyglass). One of the major use cases is searching your local files & their contents which aligns perfectly with how Obsidian stores it notes.

I'm one of the developers of Spyglass (https://github.com/spyglass-search/spyglass), an open-source self-hosted personal search engine. We recently added the ability to search through your Reddit saved & upvoted posts!

If you accept running Java, the Apache Tika is extremely good at parsing content (https://tika.apache.org/)

Apache Tika can spit out text from lots of formats. I've used it with grep (or rg) to make a small scale searching of local folders. Tika does a really good job at OCR for finding if text is in a file.

https://tika.apache.org Meta data from things.

At my previous job we had the same problem which we solved by using Tika. We called it on the server along with other stuff, but there is also a Python binding.