⚡ PDX: A Library for Fast Vector Search and Indexing on CPUs (x86, ARM) — for Python and C++. Index millions of vectors in seconds. Search them in milliseconds.
-
Updated
Mar 6, 2026 - C++
⚡ PDX: A Library for Fast Vector Search and Indexing on CPUs (x86, ARM) — for Python and C++. Index millions of vectors in seconds. Search them in milliseconds.
PaveDB — Lightweight Vector Search Microservice
Automated video advertisement content analysis system using Sentence Transformers and cosine similarity for yes/no question evaluation. Features text embedding with all-mpnet-base-v2, batch processing, vector indexing, and performance evaluation against human-coded ground truth data.
Flask-based web application designed for detecting objects in images and retrieving visually similar images from a dataset (2021)
Milvus integration vector pipeline
Experimental framework for evaluating TiDB’s vector search capabilities with LangChain-based LLM retrieval workflows. Includes setup scripts, indexing pipelines, and retrieval benchmarks to test hybrid query performance and relevance scoring on TiDB’s vector database engine.
Elixir client for PaveDB
Document intelligence & RAG engine. 7 API endpoints, FAISS vector indexing, semantic chunking, parallel LLM inference with VRAM monitoring. 24 docs/min throughput. Pub+sub NATS integration for bidirectional knowledge flow with Cerebro
Add a description, image, and links to the vector-indexing topic page so that developers can more easily learn about it.
To associate your repository with the vector-indexing topic, visit your repo's landing page and select "manage topics."