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Related Products
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Sphinx:
About
Sphinx is an open source full text search server, designed from the ground up with performance, relevance (aka search quality), and integration simplicity in mind. It's written in C++ and works on Linux (RedHat, Ubuntu, etc), Windows, MacOS, Solaris, FreeBSD, and a few other systems. Sphinx lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily, or index and search data on the fly, working with Sphinx pretty much as with a database server. A variety of text processing features enable fine-tuning Sphinx for your particular application requirements, and a number of relevance functions ensures you can tweak search quality as well. Searching via SphinxAPI is as simple as 3 lines of code, and querying via SphinxQL is even simpler, with search queries expressed in good old SQL. Sphinx indexes up to 10-15 MB of text per second per single CPU core, that is 60+ MB/sec per server (on a dedicated indexing machine).
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Vectara:
About
Vectara is LLM-powered search-as-a-service. The platform provides a complete ML search pipeline from extraction and indexing to retrieval, re-ranking and calibration. Every element of the platform is API-addressable. Developers can embed the most advanced NLP models for app and site search in minutes.
Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more. Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding. Segment data into any number of indexes storing vector encodings optimized for low latency and high recall. Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models. Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results. Zero in on the true likelihoods that the retrieved response represents a probable answer to the query.
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Sphinx:
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Vectara:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Sphinx:
Audience
Enterprises seeking a full text search server that provides relevant fulltext search functions to other applications
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Vectara:
Audience
Companies interested in a powerful AI neural search solution for sites, documents, and apps
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Sphinx:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Vectara:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Sphinx:
API
Offers API
Supported
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Vectara:
API
Offers API
Not Supported
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Sphinx:
Screenshots and Videos |
Vectara:
Screenshots and Videos |
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Sphinx:
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Vectara:
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Sphinx:
Reviews/
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Vectara:
Reviews/
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Sphinx:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Vectara:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Sphinx:
Company InformationSphinx
Founded: 2007
United States
sphinxsearch.com
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Vectara:
Company InformationVectara
Founded: 2020
United States
vectara.com
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Sphinx:
Alternatives |
Vectara:
Alternatives |
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Sphinx:
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Vectara:
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Vectara:
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Vectara:
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Sphinx:
Categories |
Vectara:
Categories |
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Sphinx:
Integrations
Biel.ai
Supported
Crowdin
Supported
Dash
Supported
Datavolo
Not Supported
IBM watsonx.data
Not Supported
Knoku
Supported
Langflow
Not Supported
Mermaid
Supported
Model Context Protocol (MCP)
Not Supported
MySQL
Supported
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Vectara:
Integrations
Biel.ai
Not Supported
Crowdin
Not Supported
Dash
Not Supported
Datavolo
Supported
IBM watsonx.data
Supported
Knoku
Not Supported
Langflow
Supported
Mermaid
Not Supported
Model Context Protocol (MCP)
Supported
MySQL
Not Supported
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Sphinx:
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Vectara:
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