Explains how AWS News implemented semantic content search using S3 vector buckets and embeddings for better article discovery.
Explores building a hybrid search system combining semantic (meaning-based) and lexical (keyword-based) search for better results on a developer blog.
A daily tech reading list covering AI agents, cloud services, software engineering trends, and new tools like conversational analytics in BigQuery.
Introducing Spelungit, a semantic search tool for Git commit history that uses natural language queries instead of exact keywords.
A guide to implementing semantic search for static websites using Amazon S3 Vector Buckets and Microsoft's Semantic Kernel for embedding generation.
A talk on implementing semantic search in a web service using Python, Django, PostgreSQL, and open-source AI tools, presented at EuroPython 2025.
A talk at PyCon Italia 2025 on implementing semantic search using Python, Django, PostgreSQL, and open-source AI tools.
A talk on adding semantic search to Django web projects using PostgreSQL and the pgvector extension for AI-powered functionality.
A technical overview of Obsidian-Copilot, a prototype AI assistant for drafting and reflecting within the Obsidian note-taking app using retrieval-augmented generation.
A tutorial on building a Streamlit web UI for a semantic search application using Pinecone vector database and OpenAI embeddings.
A tutorial on accelerating sentence embeddings using Hugging Face Transformers and AWS Inferentia chips for high-performance semantic search.
Explains how to bootstrap training labels for a semantic search system using initial lexical search and user click data instead of costly human annotation.
