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Introducing AIKNOW: Hybrid RAG for Enterprise Knowledge

Knowledge graph and vector retrieval bring business context into enterprise AI answers.

Technica Inc., now Technica AI Inc., announced the launch of AIKNOW on February 13, 2025. The enterprise knowledge platform combines knowledge graph and vector search through hybrid retrieval-augmented generation (RAG), with consulting and implementation services to support adoption.

This English adaptation is based on the February 13, 2025 press release. The former company name, Technica Inc., product scope, and company profile reflect the time of publication. See the current product page for the latest capabilities.

How generative AI can transform business operations

Effective AI adoption requires a clear fit with business processes, available data, and decision-making responsibilities. Knowledge management, workflow design, and evaluation are as important as the model itself.

A proof of concept can establish feasibility under defined conditions. Moving to production also requires integration, security, operational support, and acceptance criteria suited to the intended use.

Technica combines business consulting with AI research and engineering to identify operational requirements and design an appropriate implementation approach.

Services can span requirements definition, technical evaluation, integration, deployment, and ongoing improvement, with the scope agreed for each engagement.

Features of AIKNOW

Designed around business requirements

AIKNOW combines vector search for similar content with graph search for relationships in enterprise knowledge, helping it retrieve information relevant to business questions and workflows.

Combining relationships and semantic similarity

Knowledge graphs can reveal connections that similarity search alone may miss. Answer quality still depends on source data, knowledge structure, model behavior, and evaluation; hybrid RAG does not eliminate the possibility of incorrect answers.

Flexible, business-specific customization and integration

Data structures and application functions can be tailored to agreed business requirements.

The launch announcement outlined SDK and API integration with systems such as DocuWorks, Salesforce, and Teams. The scope depends on available interfaces, access permissions, and the deployment environment.

Support for multiple LLMs and flexible operating environments

The announcement described support for models such as GPT and Gemini, as well as self-hosted open-weight models such as Llama. Model selection depends on security, quality, hardware, and licensing requirements.

Self-hosting can keep model processing within an approved environment when external processing is restricted. It still requires appropriate access controls, data handling, and operational security. Infrastructure and maintenance costs also need to be weighed against provider API charges.

Outlook for AIKNOW

The launch laid the foundation for putting enterprise knowledge to work in business processes. Later versions expanded retrieval, decision support, and actions within defined controls. The current product page outlines these capabilities.

About Technica Inc.

According to the company profile published in 2025, Technica had approximately 40 AI scientists and engineers providing AI consulting and system development services. The About Us page describes the current organization.

ItemDetails
Company nameTechnica Inc.
RepresentativeSatoki Tsuyuri, Representative Director and CEO
FoundedFebruary 2024
URLhttps://technica.ai

Contact

Technica Inc.

Email: office@technica.ai

This release was distributed via PR TIMES.

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