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What is Kavunka?

Kavunka — Statistical Search Engine
Kavunka implements document ranking based on the analysis of word distributions and frequency characteristics. The system is built on probabilistic and statistical models without semantic interpretation or contextual heuristics.
This approach ensures formal validity, reproducibility of results, and algorithmic transparency.
Kavunka — search driven by data mathematics.

iFigure — Retrieval-Based AI Agent
iFigure is an AI agent designed to generate accurate responses through multiple structured search queries to the Kavunka engine. It retrieves statistically ranked information and integrates results to support reliable answer generation.
Its internal algorithms enable extended multi-turn dialogue management without exceeding context window limitations. The system minimizes hallucinations by strictly grounding responses in retrieved data.
When no relevant information is available, iFigure responds with “I don’t know.” When model generation exceeds contextual constraints, it responds with “I am not confident in my answer.”
iFigure — precision through controlled retrieval.
System Requirements for Kavunka:
OS: Linux
CPU: > 2.0 GHz
RAM: > 2 GB

Technologies are not used: Apache Solr, Apache Lucene, Elasticsearch, Sphinx, MySQL, NoSQL, MongoDB, Xapian, DataparkSearch, Tika, fastText, etc. Only unique technologies have been developed by C & C++.

Kavunka is a high-performance, multi-threaded search engine designed for large-scale web crawling and data extraction. It supports automatic language detection for web pages, currently including English, German, Italian, French, Portuguese, Spanish, Polish, Ukrainian, and Russian.
Kavunka corrects user query errors to ensure high-quality search results and retrieves large text segments from web pages, making it particularly effective for Retrieval-Augmented Generation (RAG) applications. Its crawling infrastructure can bypass common site protections using proxy networks and rotating user agents, enabling comprehensive and efficient data collection.

How can this be used?

1. Use Kavunka and iFigure to add an advanced, reliable help system to your website. Kavunka indexes your site, and iFigure provides answers strictly based on that content—no hallucinations, no external links. Your users get fast, accurate, context-specific information directly from your site.
2. You can also use software for scraping a large number of web pages. Kavunka can use go-rod. Crawling by Chrome allows you to receive data from JavaScript Websites. After crawling the site, you can receive a scraping report in any format: json, csv, xml.
3. This technology will be useful to owners of Internet sites to attract additional traffic. You can make a manual selection of sites and add sites of a particular subject, for example: games, cars, real estate, medicine, etcetera to Kavunka search. Also, you can configure the parser and extract the information, you are interested in, from the donor sites, for example, price, user ratings, reviews. After that, you can customize search in such a way that this information will be provided in a convenient form, it makes the SERP more interesting and informative for your users. As a result of using Kavunka, you will have a super service on your site, which will be like Google, Bing, DuckDuckGo in functionality. This will increase the credibility of your Internet resource in the eyes of users and give them the opportunity to search the Internet without leaving your site.

Examples

Website Subject of sites Language Hard
Kavunka.com Internal search on the site EN VPS
Kavunka.net Search engine demonstrating the capabilities of the Kavunka engine & iFigure AI Agent (access on request) EN Intel Xeon 32-core, 196GB RAM, RTX 3090 24GB
Dydon.ai The Kavunka search engine have used inside the Taxo Tool software for banks DE AMD 16-core, 32GB RAM

Screenshots

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