tidyquery
Typesense
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| tidyquery | Typesense | |
|---|---|---|
| 2 | 129 | |
| 167 | 17,965 | |
| - | 4.8% | |
| 0.0 | 9.8 | |
| over 1 year ago | 4 days ago | |
| R | C++ | |
| Apache License 2.0 | 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.
tidyquery
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Can "dplyr" code automatically be converted to SQL code?
tidyquery
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ClickHouse as an alternative to Elasticsearch for log storage and analysis
> SQL is a perfect language for analytics.
Slightly off topic, but I strongly agree with this statement and wonder why the languages used for a lot of data science work (R, Python) don't have such a strong focus on SQL.
It might just be my brain, but SQL makes so much logical sense as a query language and, with small variances, is used to directly query so many databases.
In R, why learn the data.tables (OK, speed) or dplyr paradigms, when SQL can be easily applied directly to dataframes? There are libraries to support this like sqldf[1], tidyquery[2] and duckdf[3] (author). And I'm sure the situation is similar in Python.
This is not a post against great libraries like data.table and dplyr, which I do use from time to time. It's more of a question about why SQL is not more popular as the query language de jour for data science.
[1] https://cran.r-project.org/web/packages/sqldf/index.html
[2] https://github.com/ianmcook/tidyquery
[3] https://github.com/phillc73/duckdf
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?
duckdf - 🦆 SQL for R dataframes, with ducks
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
clickhousedb_fdw - PostgreSQL's Foreign Data Wrapper For ClickHouse
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
meilisearch-js-plugins - The search client to use Meilisearch with InstantSearch.
Apache Solr - Apache Lucene and Solr open-source search software
tidyquant - Bringing financial analysis to the tidyverse
meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout
tidyverse - Easily install and load packages from the tidyverse
loki - Like Prometheus, but for logs.
tidylog - Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.