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Description
Jina Reranker v2 stands out as an advanced reranking solution tailored for Agentic Retrieval-Augmented Generation (RAG) frameworks. By leveraging a deeper semantic comprehension, it significantly improves the relevance of search results and the accuracy of RAG systems through efficient result reordering. This innovative tool accommodates more than 100 languages, making it a versatile option for multilingual retrieval tasks irrespective of the language used in the queries. It is particularly fine-tuned for function-calling and code search scenarios, proving to be exceptionally beneficial for applications that demand accurate retrieval of function signatures and code snippets. Furthermore, Jina Reranker v2 demonstrates exceptional performance in ranking structured data, including tables, by effectively discerning the underlying intent for querying structured databases such as MySQL or MongoDB. With a remarkable sixfold increase in speed compared to its predecessor, it ensures ultra-fast inference, capable of processing documents in mere milliseconds. Accessible through Jina's Reranker API, this model seamlessly integrates into existing applications, compatible with platforms like Langchain and LlamaIndex, thus offering developers a powerful tool for enhancing their retrieval capabilities. This adaptability ensures that users can optimize their workflows while benefiting from cutting-edge technology.
Description
NoSQLBooster serves as a versatile GUI application compatible with MongoDB Server versions 3.6 to 6.0, featuring an integrated MongoDB script debugger alongside extensive server monitoring capabilities, fluent query chaining, SQL query support, a query code generator, task scheduling functionality, compliance with ES2020, and a sophisticated IntelliSense experience. It incorporates the V8 JavaScript engine and operates independently of any external MongoDB command line tools. Supporting versions 3.6 to 6.0, NoSQLBooster allows users to execute SQL SELECT Queries on MongoDB, offering SQL functionalities that encompass JOINS, functions, expressions, and aggregation for collections containing nested objects and arrays. Additionally, its user-friendly interface enhances the overall experience for developers and database administrators alike.
API Access
Has API
API Access
Has API
Integrations
MongoDB
Amazon Web Services (AWS)
Google Cloud Platform
LangChain
LlamaIndex
Microsoft Azure
MySQL
Integrations
MongoDB
Amazon Web Services (AWS)
Google Cloud Platform
LangChain
LlamaIndex
Microsoft Azure
MySQL
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$129 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Jina
Founded
2020
Country
United States
Website
jina.ai/reranker/
Vendor Details
Company Name
NoSQLBooster
Website
nosqlbooster.com
