vector-search
Typesense
vector-search | Typesense | |
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7 | 131 | |
249 | 18,107 | |
- | 3.4% | |
3.2 | 9.8 | |
11 months ago | 5 days ago | |
Jupyter Notebook | C++ | |
- | GNU General Public License v3.0 only |
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vector-search
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Evaluate Vector Database / Benchmarks?
i started doing this at http://vectorsearch.dev but it could use some love.
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It’s the best time to travel with recurring income using A.I. anybody want help?
this isn't keyword search it's vector search. learn more here: https://vectorsearch.dev/
- Show HN: Vector Search Engine 101
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Ask HN: Books about full text search
series of tutorials and comparisons that aim to teach a foundations about vector search: https://vectorsearch.dev/
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How do I train a model to score sentences? (i.e. with BERT)
sounds like how vector search engines work, you convert a corpus into embeddings then search and the results are ordered by relevance score. i’m building a series of tutorials here: http://vectorsearch.dev
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Algolia Acquires Search.io
working on a comparison table: https://github.com/esteininger/vector-search/tree/master/fou...
Typesense
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FlowDiver: The Road to SSR - Part 1
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.
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Release Radar · April 2024 Edition: Major updates from the open source community
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.
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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.