Real-time Retrieval for Instant Model Fine tuning., Low Computational Cost., Less Resource Consumption., Lower Response Latency.
Exthalpy make tuning and training AI models accessible to everyone – no additional costs, no additional training time.
Less Cost
Active Users
Queries Processed
Read our Research
Real-time Retrieval Argumentation for Large Language Models
This is the first paper that laid the foundation of HRT models. Introduced an open-source library to connect LLMs with real-time internet.
Hybrid Retrieval Transformers - Efficient Small Language Model
Proposed Hybrid Retrieval Transformers – a decentralised model architecture that is a hyper efficient alternate of current LLMs.
Hyperparameter control over HRTs with the Exthalpy variable.
Introducing the Exthalpy variable – the most straight-forward way to tune your model’s performance and responses both technically and mathematically.
There might be a few limitations for achieving singularity. But storage won't be one of them.
Zero Recurring Storage Charges
Zero Tuning & Training Time
Zero Additional Tuning Charges
Truly Server-less And Decentralised
Always Real-Time And Updated
Embeds 2 million+ unique characters
Live Customer Support with real-time knowledge
Enhance chatbot systems to retrieve real-time information and provide accurate responses to customer inquiries.
Real-time product and content recommendation system
Offer personalized recommendations for articles, blogs, and other content based on user interests and real-time data.
Niched market intelligence models
Build a search engine that leverages real-time data retrieval and semantic search capabilities to provide more accurate and contextually relevant search results.
What makes Exthalpy different?
Serverless vector database for complete decentralisation.
Exthalpy focuses on real-time local embeddings using retrieval-first semantic searches that our team developed in-house. This means, your embedding database is real-time & local. Also, you don’t pay any recurring charges.
Zero-latency retrieval architecture
We developed HyperRetrieval – a state-fo-the-art zero latency retrieval algorithm that crawls, scrapes and summarises real-time data to power the model.
Costs 85% less than top LLMs
Hybrid Retrieval Transformers are training-independent. This means, you save all your model training & tuning cost. it uses fine-tuning to optimise more cost further.
Real-time enterprise knowledge management
Implement internal knowledge management system that retrieves and synthesises data from repositories, emails, docs, & databases.
Seamless product management with real-time analysis
Gather and synthesize real-time market research data, customer feedback, etc. to inform product development.
A better way to interact with your customers
Build an AI model for your CRM systems to provide real-time insights on customer interactions, feedback, and market trends.
We offer a 1:1 enterprise-first experience to our clients.
Get started today with your first 100 queries on us.
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What Our Clients Say
Paityn Dorwart
Jaydon Bator
James Mango
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Frequently Asked Questions About Exthalpy
Here are some common questions we receive about our Exthalpy.
Yes, you can build agents as well as models using Exthalpy for free.
All Hybrid Retrieval Models comes with its own individual API set, model ID & API key. You can use it or share access with other users.
White-labelling Exthalpy API URLs is currently an invite-only option too. But you can contact our team to get priority access of this feature.
Yes, models that you build with Exthalpy can use multiple source URLs to create embeddings and answer to queries.