AI Agent Skills

100+ Chinese Word Vectors 上百种预训练中文词向量

This Repository contains list of Common Solidity SmartContract Attack Vectors. If you find any attack vectors missing, you can create a pull request and be a contributor…

This Repository contains list of Common DeFi threat and Attack Vectors. If you find any attack vectors missing, you can create a pull request and be a contributor of the…

A framework that references, categorizes, and mitigates blockchain attack vectors.

VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault t…

Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing…

Top2Vec learns jointly embedded topic, document and word vectors.

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching, cross-encoder reranking, layout-aware document extraction via Doc…

Explains hybrid search in Qdrant. Use when someone asks 'how do I setup hybrid search?', 'how to combine keyword and semantic search?', 'sparse plus dense vectors?', 'mi…

Constructing prefetch queries for hybrid retrieval, including sparse/dense and multi-field setups, and choosing a sparse embedding model. Use when someone asks 'dense an…

Sizes a Qdrant deployment before it is provisioned. Use when someone asks 'how much RAM do I need', 'how many nodes', 'how big should my cluster be', 'sizing', 'capacity…