Behitek Technical Blog & Services

Beam search is a heuristic search algorithm used in Natural Language Processing (NLP) tasks where the output is a sequence of words, such as machine translation, speech recognition, and text summarization. It is used to find a 'good enough' sequence of words without having to explore the entire search space, which would otherwise be computationally expensive (O(n!) complexity, where n is the dictionary size raised to the power of the sequence length).

A Python decorator is a tool used to extend the functionality of a function or class without modifying its internal source code. This approach follows the 'DRY' (Don't Repeat Yourself) and 'SoC' (Separation of Concerns) principles, allowing developers to separate core logic from cross-cutting concerns such as authentication, logging, execution timing, and exception handling.

Inverted HyDE is a dense retrieval strategy designed to overcome the production limitations of standard HyDE (Hypothetical Document Embeddings). While standard HyDE generates a hypothetical document from a user query in real-time to bridge the linguistic gap between queries and documents, Inverted HyDE flips this process: it generates hypothetical queries from documents offline during indexing. This transforms the retrieval task from 'query-to-document' similarity to 'query-to-query' similarity, improving linguistic alignment and eliminating real-time LLM generation latency.

Inverted HyDE is a dense retrieval strategy that addresses the production bottlenecks of standard HyDE (Hypothetical Document Embeddings). Instead of generating a hypothetical document from a user query in real-time, Inverted HyDE generates multiple hypothetical queries that a document could answer during the offline indexing phase. This shifts the retrieval task from 'query-to-document' similarity to 'query-to-query' similarity, improving linguistic alignment and eliminating runtime LLM latency.

The Behitek Personal AI Assistant (v0.9.0-alpha) is currently in a Prototype UI/UX Demo phase. It uses simulated response scenarios to test design and user experience. The intended persona for the assistant is a 'General Assistant & Solutions Advisor'.

LCOJ is an open-source automated online judge and contest platform used by over 20,000 students in Vietnam. It hosts more than 1,000 algorithmic problems with official editorials and is deployed on custom VPS infrastructure. The project is built using a tech stack consisting of Python, Django, Vue, JavaScript, and Docker.

Beam search is a heuristic search algorithm used in Natural Language Processing (NLP) tasks where the output is a sequence of words, such as machine translation, speech recognition, and text summarization. It is used to find a 'good enough' sequence of words without having to explore the entire search space, which would otherwise be computationally expensive (O(n!) where n is the dictionary size raised to the power of the sequence length).

LCOJ is an open-source online judge and contest platform designed for students in Vietnam. It features automatic grading and a library of over 1,000 problems with solutions. The platform is built using a tech stack consisting of Python, Django, Vue, JavaScript, and Docker.

The Behitek Personal AI Assistant is currently in a UI/UX prototype stage (v0.9.0-alpha). The prototype features a floating widget and a sandbox page designed for interface feedback. The intended persona for the assistant is a 'General Assistant & Solutions Advisor'.

Behitek offers system takeover services to optimize performance and reduce infrastructure costs. These services include a Service Level Agreement (SLA) ensuring same-day response times.

Build web applications and RESTful APIs using a modern tech stack focused on clean, documented code. Supported technologies include FastAPI, Django, React, Vue, PostgreSQL, and Redis.

Infrastructure services focus on cost-effective self-hosting and automation. Key offerings include Docker containerization, automated CI/CD pipelines, and regular system monitoring and backups.