EpsillaWhat is Epsilla?
It is an open-source, self-hostable vector database for semantic similarity search that specializes in low query latency. It bridges the gap between information retrieval and memory retention in Large Language Models.
Epsilla is a tool in the AI Infrastructure category of a tech stack.
Key Features
High performance and production-scale similarity search for embedding vectorsFull fledged database management system with familiar database, table, and field concepts. Vector is just another field typeNative Python support and REST API interface
Epsilla Pros & Cons
Pros of Epsilla
No pros listed yet.
Cons of Epsilla
No cons listed yet.
Epsilla Alternatives & Comparisons
What are some alternatives to Epsilla?
Milvus
Milvus is an open source vector database. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.
Qdrant
It is an open-source Vector Search Engine and Vector Database written in Rust. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more.
Chroma
It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.
