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Qdrant Vector Database
Featured

Qdrant is an open‑source vector database designed for high‑performance similarity search and AI applications such as RAG, recommendation systems, advanced semantic search, anomaly detection, and AI agents. It provides scalable storage and retrieval of vector embeddings with features like filtering, hybrid search, and production‑grade APIs for integrating with machine learning workloads.

DuckDB
Featured

An in-memory, open-source, and free analytical database that speaks SQL, heavily based on vectorization. It can store and process vector embeddings using Array and List data types to enable vector search, bridging the gap between data engineering and AI workflows with fast response times.

Awesome-Moviate

Awesome-Moviate is a movie search and recommendation engine demo that combines BM25 keyword search, semantic vector search, and hybrid search using Weaviate as the underlying vector database, serving as a practical example of hybrid retrieval for media content.

Healthsearch Demo

Healthsearch is an open-source demo application that uses Weaviate as a vector database to retrieve supplement products based on user-written reviews and queries, illustrating real-world semantic product search over vector embeddings.

Qinco

Qinco is an open-source implementation from Facebook Research for Residual Quantization with Implicit Neural Codebooks. It provides quantization and indexing methods for compact vector representations to accelerate similarity and nearest neighbor search, making it relevant as a low-level vector indexing and compression component for vector databases and large-scale AI retrieval systems.

Verba

Verba is a community-driven, open-source Retrieval-Augmented Generation (RAG) application that provides an end-to-end, user-friendly interface for building RAG workflows on top of a vector database, showcasing practical semantic search and retrieval patterns with Weaviate.

Voyager

Voyager is a Spotify open-source vector search library and service for efficient nearest neighbor search on large-scale vector datasets.

HelixDB

HelixDB is a powerful, open-source graph-vector database built in Rust, designed for intelligent data storage for Retrieval-Augmented Generation (RAG) and AI applications. It combines graph database features with vector search, making it directly relevant to AI and machine learning workflows that require vector data management.

Annoy

An open-source library for approximate nearest neighbor search in high-dimensional spaces, often used as a backend for vector databases and search engines.

AnythingLLM

AnythingLLM is an open-source AI application that integrates with vector databases to facilitate storage and retrieval of embeddings, supporting various AI and LLM workflows.

Apache Arrow

Apache Arrow is a cross-language development platform for in-memory data that is commonly used to facilitate efficient integration between vector databases and machine learning frameworks. It provides a standardized format for data exchange that is useful for storing and querying high-dimensional vectors in AI applications.

arroy

Arroy is an open-source library for efficient similarity search and management of vector embeddings, useful in vector database systems.

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