Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Agent Search on Gemini Enterprise Agent Platform is an advanced search solution that brings Google-level search capabilities to enterprise data and applications. It allows developers to create intelligent search experiences for websites and internal systems using both structured and unstructured data. By incorporating generative AI, the platform replaces basic keyword matching with conversational and context-aware search results. It functions as a ready-to-use retrieval augmented generation (RAG) system, grounding AI responses in enterprise data for improved accuracy. The platform simplifies complex backend processes such as ETL, indexing, and embedding generation, reducing development time significantly. It offers industry-specific solutions for sectors like healthcare, media, and retail, enabling more personalized and relevant search experiences. Developers can also build custom solutions using APIs for vector search, document parsing, and ranking. The integration with vector databases allows for advanced semantic search and recommendation systems. With minimal setup, users can deploy search engines directly into websites or applications. Continuous refinement tools help optimize search performance and relevance. Overall, it empowers businesses to deliver faster, smarter, and more engaging search experiences powered by generative AI.

Description

HyperCrawl is an innovative web crawler tailored specifically for LLM and RAG applications, designed to create efficient retrieval engines. Our primary aim was to enhance the retrieval process by minimizing the time spent crawling various domains. We implemented several advanced techniques to forge a fresh ML-focused approach to web crawling. Rather than loading each webpage sequentially (similar to waiting in line at a grocery store), it simultaneously requests multiple web pages (akin to placing several online orders at once). This strategy effectively eliminates idle waiting time, allowing the crawler to engage in other tasks. By maximizing concurrency, the crawler efficiently manages numerous operations at once, significantly accelerating the retrieval process compared to processing only a limited number of tasks. Additionally, HyperLLM optimizes connection time and resources by reusing established connections, much like opting to use a reusable shopping bag rather than acquiring a new one for every purchase. This innovative approach not only streamlines the crawling process but also enhances overall system performance.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Chat Mitra Yes 
Chatzapbot Yes 
Docker No 
Gemini Yes 
Gemini 2.5 Flash Native Audio Yes 
Gemini 3.5 Flash Cyber Yes 
Gemini 3.5 Flash-Lite Yes 
Gemini 3.6 Flash Yes 
Gemini 3.8 Flash Cyber Yes 
Gemini 4 Argon Yes 
Google Cloud Document AI Yes 
Google Cloud Platform Yes 
Google Colab No 
HTML Yes 
Jupyter Notebook No 
LinkModel Yes 
Python No 
React No 
TriWorldHub Yes 

Integrations

Amazon Web Services (AWS) Yes 
Chat Mitra No 
Chatzapbot No 
Docker Yes 
Gemini No 
Gemini 2.5 Flash Native Audio No 
Gemini 3.5 Flash Cyber No 
Gemini 3.5 Flash-Lite No 
Gemini 3.6 Flash No 
Gemini 3.8 Flash Cyber No 
Gemini 4 Argon No 
Google Cloud Document AI No 
Google Cloud Platform No 
Google Colab Yes 
HTML No 
Jupyter Notebook Yes 
LinkModel No 
Python Yes 
React Yes 
TriWorldHub No 

Pricing Details

No price information available.
Free Trial Yes 
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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/products/gemini-enterprise-agent-platform/agent-search

Vendor Details

Company Name

HyperCrawl

Website

hypercrawl.hyperllm.org

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 

Alternatives

Cohere Reviews

Cohere

Cohere AI

Alternatives