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ease
features
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support

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Description

Enhance your embedding metadata and tokens through an intuitive user interface. By employing sophisticated NLP cleansing methods such as TF-IDF, you can normalize and enrich your embedding tokens, which significantly boosts both efficiency and accuracy in applications related to large language models. Furthermore, optimize the pertinence of the content retrieved from a vector database by intelligently managing the structure of the content, whether by splitting or merging, and incorporating void or hidden tokens to ensure that the chunks remain semantically coherent. With Embedditor, you gain complete command over your data, allowing for seamless deployment on your personal computer, within your dedicated enterprise cloud, or in an on-premises setup. By utilizing Embedditor's advanced cleansing features to eliminate irrelevant embedding tokens such as stop words, punctuation, and frequently occurring low-relevance terms, you have the potential to reduce embedding and vector storage costs by up to 40%, all while enhancing the quality of your search results. This innovative approach not only streamlines your workflow but also optimizes the overall performance of your NLP projects.

Description

Vertex AI Search by Google Cloud serves as a robust, enterprise-level platform for search and retrieval, harnessing the power of Google's cutting-edge AI technologies to provide exceptional search functionalities across a range of applications. This tool empowers businesses to create secure and scalable search infrastructures for their websites, intranets, and generative AI projects. It accommodates both structured and unstructured data, featuring capabilities like semantic search, vector search, and Retrieval Augmented Generation (RAG) systems that integrate large language models with data retrieval to improve the precision and relevance of AI-generated outputs. Furthermore, Vertex AI Search offers smooth integration with Google's Document AI suite, promoting enhanced document comprehension and processing. It also delivers tailored solutions designed for specific sectors, such as retail, media, and healthcare, ensuring they meet distinct search and recommendation requirements. By continually evolving to meet user needs, Vertex AI Search stands out as a versatile tool in the AI landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Docker
Gemini
Gemini Enterprise
GitHub
Google Cloud Document AI
Google Cloud Platform
HTML
IngestAI
Vertex AI

Integrations

Docker
Gemini
Gemini Enterprise
GitHub
Google Cloud Document AI
Google Cloud Platform
HTML
IngestAI
Vertex AI

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Embedditor

Website

embedditor.ai/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/enterprise-search

Product Features

Product Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

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Alternatives

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