deven96/ahnlich

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

High-quality search for AI-native applications.

Go library for embedded vector search and semantic embeddings using llama.cpp

Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

A managed RAG API server.

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

A high performance Vector Database leveraging parallel graph computing

Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali