vespa
Typesense
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vespa | Typesense | |
---|---|---|
4 | 129 | |
5,336 | 17,876 | |
2.5% | 4.4% | |
10.0 | 9.8 | |
6 days ago | 7 days ago | |
Java | 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.
vespa
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Top 10 Best Vector Databases & Libraries
Vespa(4.3k ⭐) → A fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real time.
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Vector database built for scalable similarity search
If ES doesn't work for you, I recommend Vespa. https://github.com/vespa-engine/vespa
Others have made other suggestions, but Vespa has two unique features. First it is battle tested at a large scale, second it supports combining the keyword and vector scores in several ways. The latter is something that other hybrid systems don't do very well in my experience including ES/Solr.
- ZincSearch – lightweight alternative to Elasticsearch written in Go
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MeiliSearch: A Minimalist Full-Text Search Engine
After looking at various alternatives, I'm thinking of trying out https://vespa.ai/ [0]
[0] https://github.com/vespa-engine/vespa
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?
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
pgvector - Open-source vector similarity search for Postgres
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
Infinispan - Infinispan is an open source data grid platform and highly scalable NoSQL cloud data store.
Apache Solr - Apache Lucene and Solr open-source search software
milvus-lite - A lightweight version of Milvus wrapped with Python.
meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout
milli - Search engine library for Meilisearch ⚡️
loki - Like Prometheus, but for logs.
pgroonga - PGroonga is a PostgreSQL extension to use Groonga as index. PGroonga makes PostgreSQL fast full text search platform for all languages!
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.