Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Experience the quickest route to tailored recommendations and search functionalities. Boost user engagement, conversion rates, and overall revenue with a versatile system that adjusts in real time to meet your needs. Our platform assists users in locating exactly what they desire by highlighting products or content that align most closely with their interests. We also prioritize your business goals, ensuring that every aspect of your platform or marketplace is optimized equitably. At its core, Shaped features a four-stage, real-time recommendation engine equipped with the necessary data and machine-learning infrastructure to analyze your data and effectively cater to your discovery requirements on a large scale. Integration with your current data sources is seamless and quick, allowing for the ingestion and re-ranking of information in real time based on user behavior. You can also enhance large language models and neural ranking systems to achieve cutting-edge performance. Furthermore, our platform enables you to create and experiment with various ranking and retrieval components tailored to any specific application. This flexibility and capability ensure that users receive the most relevant results for their inquiries.
Description
Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes.
Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AccessOwl
Yes
Amazon Kinesis
Yes
Amazon Redshift
Yes
Amazon S3
Yes
Amplitude
Yes
Datavolo
No
Google Analytics
Yes
Google Cloud BigQuery
Yes
Google Cloud Firestore
Yes
IBM watsonx.data
No
Integrations
AccessOwl
No
Amazon Kinesis
No
Amazon Redshift
No
Amazon S3
No
Amplitude
No
Datavolo
Yes
Google Analytics
No
Google Cloud BigQuery
No
Google Cloud Firestore
No
IBM watsonx.data
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Shaped
Country
United States
Website
www.shaped.ai/
Vendor Details
Company Name
Vectara
Founded
2020
Country
United States
Website
vectara.com
Product Features
Product Features
Enterprise Search
AI / Machine Learning
No
Faceted Search / Filtering
No
Full Text Search
No
Fuzzy Search
No
Indexing
No
Text Analytics
No
eDiscovery
No