OPENAGENTSKILL / DIRECTORY
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Results: 30
Quillhash
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…
Quillhash
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…
ImmuneBytes-Security-Audit
A framework that references, categorizes, and mitigates blockchain attack vectors.
dgarnitz
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
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
weaviate
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…
unum-cloud
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
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…
ddangelov
Top2Vec learns jointly embedded topic, document and word vectors.
alexklibisz
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
fzliu
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
RustyRAG
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…
qdrant
Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update to a new mo…
qdrant
Guides sliding time window scaling in Qdrant. Use when someone asks 'only recent data matters', 'how to expire old vectors', 'time-based data rotation', 'delete old data…
surrealdb
Vector search with SurrealDB using HNSW indexes, KNN queries, and similarity scoring. Use when creating vector indexes, querying vectors with KNN distance operators, bui…
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