Semantic Vector Search for Mechanical Drawing Titles with .NET Core and Open-Source Models

Mechanical drawing titles often contain specialized terminology, abbreviations, and non-standard formats (e.g., "Potato Sorter DWG-001 Stainless Steel"). Traditional keyword-based search struggles with such data due to semantic ambiguity and varied user queries (e.g., "Potato Screening Machine"). Semantic search enhancement ...

Posted on Fri, 12 Jun 2026 16:08:47 +0000 by sudhakararaog

Working with Chroma Vector Database: Installation, Operations, and API Reference

OverviewChroma serves as an open-source vector database designed for building AI applications with embeddings. It provides SDKs for both Python and JavaScript/TypeScript, along with a server component. The platform focuses on developer productivity, offering tools to store embeddings and metadata, embed documents and queries, and perform simila ...

Posted on Sun, 17 May 2026 00:53:50 +0000 by amit.patel

Building a Domain-Specific RAG Assistant with Huixiangdou

Retrieval-Augmented Generation Architecture Large Language Models (LLMs) often struggle with static training data limitations, leading to issues with outdated information and hallucinations. Retrieval-Augmented Generation (RAG) addresses this by grounding model responses in external, up-to-date knowledge bases. This technique operates in three ...

Posted on Fri, 15 May 2026 04:34:06 +0000 by dragon_sa

Getting Started with Vector Databases for Text Search Using Python

Vector Databases Vector databases can transform complex unstructured data into multi-dimensional coordinate values, enabling computation of nearly any concept. Once data enters the mathematical domain, it becomes calculable and searchable. These databases serve as external knowledge repositories for large language models, providing up-to-date c ...

Posted on Fri, 08 May 2026 09:42:46 +0000 by Megahertza