Prometh

What is Prometh?

Prometh is a smart data framework designed to boost how well AI models perform by making data processing much better. It uses something called Cognee, which is like a semantic memory layer. This layer helps uncover hidden connections within your data, making the results you get more relevant and trustworthy. Prometh can help with several things: it can take in your data, make it richer by mapping out knowledge graphs, and then pull out the most relevant information, all based on facts. Plus, it aims to cut down on infrastructure costs by offering a solid and efficient way to handle big data. People have really liked how effective Prometh is for different tasks. For instance, it’s helped Keepi.ai get more accurate and faster results, and it’s made workflows and decision-making smoother for dynamo.fyi.

Who created Prometh?

Vasilije Markovic is the person behind Prometh; he’s also the CEO and Co-Founder. Vasilije brings a unique mix of experience from Business, Psychology, and Engineering. He’s been a Team Lead at Taxfix, worked on deploying machine learning applications at Zalando, and even oversaw the creation of real-time Big Data systems at Omio. The CTO and Co-Founder is Boris Arzentar. Boris has a background in engineering and product growth, having worked as a Growth Engineer at StuDocu, Frontend Lead at Pera, and Tech Lead at Knip/DIG.

What is Prometh used for?

• It lets users save and retrieve knowledge easily, without needing to fine-tune models or fiddle with vector databases.
• You can build a custom knowledge base for things like building codes and regulations, making it simple to search and update.
• It helps enrich data for thousands of customers, offering them personalized support.
• It’s great for building an affordable, reliable memory layer for products that truly understands context.

Who is Prometh for?

• Architects
• AI App Developers
• Data Analysts
• Engineers
• Data Enrichment Specialists

How to use Prometh?

Here’s how you can get the most out of Prometh:

1. Data Ingestion: First, just upload your data. Prometh can handle all sorts of files – text, media, PDFs, tables, presentations, JSON, you name it. You can add small or large files one by one, or even several at once.
2. Data Enrichment: Prometh then digs into your data, pulling out facts and connections to build a knowledge graph. It figures out how everything is linked, helping Prometh understand your data much better.
3. Relevant Data Retrievals: When you ask for information, Prometh bases its answers on the facts it gathered. This means fewer made-up results and more reliable, relevant, and complete answers.
4. Lower Infrastructure Costs: Prometh gives you a strong, efficient, and scalable big data infrastructure, but it costs much less than building one yourself. This saves you a lot of hassle and money.
5. Use-Cases: Prometh has already been used successfully for many things, like giving users access to knowledge, making workflows smoother, and providing personalized customer support.
6. Testimonials: People who use Prometh often mention how easy it is to use, how accurate and fast it is, and how it really helps streamline their decision-making and daily tasks.

By following these steps, you can really make Prometh work for you, improving how you manage and retrieve data. You’ll get results that are reliable and truly understand the context.