Epsilla vs Qdrant
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | 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. |
Easy to use API;
Fast and accurate;
Advanced filtering;
Rich data types;
Cloud-native and horizontally scaleable;
Efficient & performant | High performance and production-scale similarity search for embedding vectors;
Full fledged database management system with familiar database, table, and field concepts. Vector is just another field type;
Native Python support and REST API interface |
Statistics | |
GitHub Stars 26.9K | GitHub Stars 865 |
GitHub Forks 1.9K | GitHub Forks 42 |
Stacks 52 | Stacks 0 |
Followers 20 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
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Weaviate
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