Searx
Typesense
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Searx | Typesense | |
---|---|---|
154 | 129 | |
13,152 | 17,796 | |
- | 3.9% | |
7.7 | 9.8 | |
8 months ago | 8 days ago | |
Python | C++ | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Searx
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Challenging projects every programmer should try
I think searx was largely built by a single person.
- Searx is no longer maintained
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I want to organize my few TBs of data in a nice way
I use Recoll to index all of it. Recoll WebUI exposes an API, which I plugged into Searx.
- Now you can search on Google for free: Solution with API
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Google Removes Sort by Date options in search
The quality of Google search results has been awful for many years now, but if you still want to use it, the only usable way is via a frontend like Searx[1]. Using any of Google's frontends for any of their services is an exercise in frustration from dodging ads and fighting their hostile UI.
- Ask HN: Best search engine alternatives to Google?
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Any way to create RSS of google?
RSS-Bridge has a Google search adapter. You can also fake it with Searx (which offers RSS feeds of search results).
- How is everyone doing with most of reddit gone?
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Local self ask
I've recently wondered how effective local models were at chaining together thoughts as proposed in https://ofir.io/self-ask.pdf. Turns out they are indeed capable of doing so while also creating reasonable chains of thoughts that are easily as good as OpenAI's models. To make it completely free to run I used SearX running inside a Docker container with a second model curating the search results for the main model to get answers from the web.
Typesense
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Website Search Hurts My Feelings
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/)
- Remote Machine Learning and Searching on a Raspberry Pi 5
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Open Source alternatives to tools you Pay for
Typesense - Open Source Alternative to Algolia
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DNS record "hn.algolia.com" is gone
If you like your penny take a look at Typesense https://typesense.org/ - nothing to complain here. Especially nothing complain about pricing.
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Vector databases: analyzing the trade-offs
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
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Creating an advanced search engine with PostgreSQL
For something small with a minimal footprint, I'd recommend Typesense. https://github.com/typesense/typesense
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Obsidian Publish full text search
I haven’t used Publish, but I’d assume you could use something like https://typesense.org/ to index and search the vault.
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DynamoDB search options
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.
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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try tigris | typesense for faster search
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Is it worth using Postgres' builtin full-text search or should I go straight to Elastic?
I’m also checking out Typesense as a possibility for replacing Elastic: https://typesense.org/
What are some alternatives?
searxng - SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Yacy - Distributed Peer-to-Peer Web Search Engine and Intranet Search Appliance
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
whoogle-search - A self-hosted, ad-free, privacy-respecting metasearch engine
Apache Solr - Apache Lucene and Solr open-source search software
meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout
duckduckgo-locales - Translation files for <a href="https://duckduckgo.com"> </a>
loki - Like Prometheus, but for logs.
searxng - SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled. This is a fork of SearXNG used by searx.tiekoetter.com
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.