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Description
Liminary is an innovative knowledge-management platform that acts as a digital “knowledge companion” for professionals who deal with extensive research, content, or information. It allows users to capture and systematically organize data from diverse formats like articles, PDFs, videos, and meeting transcripts into a cohesive library where every item is transformed into a structured “source.” Upon saving content, users can emphasize important insights, add personal annotations, and curate collections based on specific projects or themes. Furthermore, Liminary enhances the synthesis process by automatically identifying relationships between concepts, revealing patterns that may be easily missed, and providing a platform for inquiry. Additionally, the platform empowers users to generate various output artifacts, including research reports, investment memos, marketing briefs, or strategy presentations, all of which incorporate their accumulated knowledge along with proper source citations. This multifaceted approach not only streamlines information management but also fosters deeper understanding and creativity in professional settings.
Description
Weaviate serves as an open-source vector database that empowers users to effectively store data objects and vector embeddings derived from preferred ML models, effortlessly scaling to accommodate billions of such objects. Users can either import their own vectors or utilize the available vectorization modules, enabling them to index vast amounts of data for efficient searching. By integrating various search methods, including both keyword-based and vector-based approaches, Weaviate offers cutting-edge search experiences. Enhancing search outcomes can be achieved by integrating LLM models like GPT-3, which contribute to the development of next-generation search functionalities. Beyond its search capabilities, Weaviate's advanced vector database supports a diverse array of innovative applications. Users can conduct rapid pure vector similarity searches over both raw vectors and data objects, even when applying filters. The flexibility to merge keyword-based search with vector techniques ensures top-tier results while leveraging any generative model in conjunction with their data allows users to perform complex tasks, such as conducting Q&A sessions over the dataset, further expanding the potential of the platform. In essence, Weaviate not only enhances search capabilities but also inspires creativity in app development.
API Access
Has API
API Access
Has API
Integrations
OpenAI
Amazon Web Services (AWS)
Azure Marketplace
ChatGPT
GPT-3
Hugging Face
Kestra
Kosmoy
LinkedIn
Lyzr
Integrations
OpenAI
Amazon Web Services (AWS)
Azure Marketplace
ChatGPT
GPT-3
Hugging Face
Kestra
Kosmoy
LinkedIn
Lyzr
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
Liminary
Country
United States
Website
liminary.io
Vendor Details
Company Name
Weaviate
Founded
2019
Country
The Netherlands
Website
weaviate.io