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
Introduction to Vector Stores and Embeddings with LangChain
In this post, we explore vector stores and embeddings, which are crucial components for building chatbots and performing semantic search on data corpora.
Workflow
Recall the entire workflow of Retrieval Augmented Generation (RAG):
We start with documents, create smaller splits of these documents, generate embeddings for these splits, and store ...
Posted on Sun, 17 May 2026 07:35:31 +0000 by rallen102
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