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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Cribl Search introduces an innovative search-in-place technology that allows users to effortlessly explore, discover, and analyze data that was once deemed inaccessible, directly from its source and across various cloud environments, including data secured behind APIs. Users can easily navigate through their Cribl Lake or examine data stored in prominent object storage solutions such as AWS S3, Amazon Security Lake, Azure Blob, and Google Cloud Storage, while also enriching their insights by querying multiple live API endpoints from a variety of SaaS providers. The core advantage of Cribl Search is its strategic capability to forward only the essential data to analytical systems, thus minimizing the expenses associated with storage. With built-in compatibility for platforms like Amazon Security Lake, AWS S3, Azure Blob, and Google Cloud Storage, Cribl Search offers a unique opportunity to analyze all data directly where it resides. Furthermore, it empowers users to conduct searches and analyses on data regardless of its location, whether it be debug logs at the edge or data archived in cold storage, thereby enhancing their data-driven decision-making. This versatility in data access significantly streamlines the process of gaining insights from diverse data sources.

Description

While generative AI is a relatively recent development, our efforts over the last five years have paved the way for this moment. Deep Lake merges the strengths of data lakes and vector databases to craft and enhance enterprise-level solutions powered by large language models, allowing for continual refinement. However, vector search alone does not address retrieval challenges; a serverless query system is necessary for handling multi-modal data that includes embeddings and metadata. You can perform filtering, searching, and much more from either the cloud or your local machine. This platform enables you to visualize and comprehend your data alongside its embeddings, while also allowing you to monitor and compare different versions over time to enhance both your dataset and model. Successful enterprises are not solely reliant on OpenAI APIs, as it is essential to fine-tune your large language models using your own data. Streamlining data efficiently from remote storage to GPUs during model training is crucial. Additionally, Deep Lake datasets can be visualized directly in your web browser or within a Jupyter Notebook interface. You can quickly access various versions of your data, create new datasets through on-the-fly queries, and seamlessly stream them into frameworks like PyTorch or TensorFlow, thus enriching your data processing capabilities. This ensures that users have the flexibility and tools needed to optimize their AI-driven projects effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Security Hub
Amazon S3
Amazon SageMaker
Amazon Web Services (AWS)
Azure Blob Storage
ChatGPT
Cribl AppScope
Cribl Edge
Cribl Lake
Cribl Stream
Google Cloud Platform
Google Cloud Storage
Google Workspace
Jupyter Notebook
LangChain
Microsoft Azure
OpenAI
PyTorch
TensorFlow
Zoom

Integrations

AWS Security Hub
Amazon S3
Amazon SageMaker
Amazon Web Services (AWS)
Azure Blob Storage
ChatGPT
Cribl AppScope
Cribl Edge
Cribl Lake
Cribl Stream
Google Cloud Platform
Google Cloud Storage
Google Workspace
Jupyter Notebook
LangChain
Microsoft Azure
OpenAI
PyTorch
TensorFlow
Zoom

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$995 per month
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

Cribl

Founded

2018

Country

United States

Website

cribl.io/search/

Vendor Details

Company Name

activeloop

Country

United States

Website

www.activeloop.ai/

Product Features

Enterprise Search

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

Product Features

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