How does it technically work?

Upon receiving a question, Eldigen processes it using a special AI network that helps to categorize and understand its context. Then, using a special method, we improve the accuracy of the generated responses and respond in natural language using an LLM model.

Search query Response Reference Investment Vector Database Context Context Query ENHANCEMENT Large Language Model RETRIEVAL GENERATION Search query Investment Vector Database Context ENHANCEMENT Context Query Large Language Model Response Reference GENERATION RETRIEVAL

AI Search, for companies that save time and search faster.

Companies and organizations with large technical information datasets often use the traditional "Keyword" search method. However, with the new era of generative AI, it's possible to do better, using natural language in complex combinations.

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What is possible with semantic search?

It's faster and more precise searching. Eldigen can continuously update itself, synchronizing with your existing database, which means your question will be answered in deep context, linking existing information with the latest information. The existing keyword system can only find similar content types but cannot understand context.

Unstructured, noisy data? That's not a problem.

Eldigen's semantic search model can find good results even in unstructured data. Moreover, it is capable of searching for information in various languages.

Sign up for the Eldigen AI Search demo.

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Generative artificial intelligence is a new technology. This workshop creates a bridge between theoretical knowledge and its practical application. Find the best solution for your company's specifics.

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