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What is Lilac?

Lilac serves as an open-source platform tailored for data and AI experts aiming to improve their products through superior data management techniques. It provides users with the ability to extract insights from their data by utilizing sophisticated search and filtering options. The platform promotes teamwork by offering a consolidated dataset, ensuring that all team members can access the same information seamlessly. By adopting best practices for data curation, including the removal of duplicates and personally identifiable information (PII), users can optimize their datasets, which leads to decreased training expenses and time. Moreover, the tool incorporates a diff viewer that enables users to visualize the impact of modifications in their data pipeline. Clustering techniques are applied to automatically classify documents by analyzing their text, thereby grouping similar items and revealing the hidden structure within the dataset. Lilac employs state-of-the-art algorithms and large language models (LLMs) to execute clustering and assign relevant titles to the contents of the dataset. Furthermore, users can perform immediate keyword searches by entering specific terms into the search bar, which facilitates more advanced searches, such as concept or semantic searches, in the future. This ultimately enhances the decision-making process, allowing users to harness data insights with greater efficiency and effectiveness. In a landscape where data is abundant, Lilac provides the tools needed to navigate it successfully.

What is Agent Search on Gemini Enterprise Agent Platform?

Agent Search on Gemini Enterprise Agent Platform is a comprehensive tool that enables organizations to build high-quality, AI-driven search experiences powered by their own data. It delivers Google-level search performance across websites, internal systems, and large datasets, including both structured and unstructured information. The platform enhances traditional search by introducing conversational interfaces that understand user intent and provide context-aware results. As a built-in retrieval augmented generation (RAG) system, it grounds AI responses in enterprise data, improving accuracy and reliability. It streamlines complex processes such as data ingestion, transformation, indexing, and retrieval into a simplified workflow that requires minimal setup. Industry-specific capabilities support specialized use cases in healthcare, media, and commerce, offering tailored search and recommendation features. Developers can customize and extend functionality using APIs for embeddings, ranking, document parsing, and grounded generation. The platform also integrates with vector search technology, enabling advanced semantic matching and recommendation engines. With support for custom embeddings and scalable indexing, it can handle massive datasets efficiently. Users can quickly deploy search functionality into websites through widgets or APIs, enabling immediate improvements in user experience. Built-in tools allow for testing, refinement, and optimization of search performance over time. The system also supports generative AI applications by acting as a reliable data retrieval layer for chatbots and assistants. Overall, it transforms enterprise search into an intelligent, scalable, and highly customizable AI-powered experience.

Media

Media

Integrations Supported

Cohere
Hugging Face

Integrations Supported

Chat Mitra
Chatzapbot
Gemini
Gemini 2.5 Flash Native Audio
Gemini 3.5 Flash Cyber
Gemini 3.5 Flash-Lite
Gemini 3.8 Flash
Gemini 4 Argon
Gemini 4 Carbon
Gemini 4 Flash
Gemini Enterprise
Gemini Enterprise Agent Platform
Google Cloud Document AI
Google Cloud Platform
HTML
LinkModel
TriWorldHub
Willow

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Lilac

Company Location

United States

Company Website

www.lilacml.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

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

Categories and Features

AI Development

Not specified

Categories and Features

eCommerce Search

Not specified

Enterprise Search

Not specified

Semantic Search

Not specified

Site Search

Not specified

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4.0 out of 5 stars