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How we built a SOTA search engine using PostgreSQL, pgvector, and Qwen3 embeddings [P]
A Hugging Face engineer describes how Papers with Code implemented a hybrid keyword-semantic search system using PostgreSQL, pgvector, and Qwen3 embeddings — improving retrieval over single-method baselines.
Aug 26, 2026
AWS Introduces Native Vector Search for DynamoDB
AWS added native vector search capabilities to DynamoDB, enabling developers to perform approximate nearest-neighbor queries on embeddings stored directly in the database without requiring a separate vector database.
Aug 16, 2026
I built Synapse – a local MCP server that gives Claude instant knowledge of your codebase
A developer released Synapse, an open-source, locally-run MCP server that enables Claude Code to perform semantic search and file retrieval across a user's private codebase without cloud transmission or API keys.
Jul 20, 2026