Memora – A Vector DB with Multistage Reranking
Hey HN, Matusa here! A friend and I have built Memora. Memora is a vector database with built-in multistage reranking, which can significantly improve search accuracy over semantic search. It also features a proprietary embedding model tailored for RAG use cases — where there's a structural mismatch between the content stored and the query used for searching (hence why HyDE works well). Memora started because we were working on a stealth AI startup where we used an agent that would query into a vector DB, but it would take multiple tries for the agent to find what it needed (20% of the time…
Memora – A Vector DB with Multistage Reranking launched on October 17, 2023 with 5 votes, #1,683 of 4,393 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 3 years on.
What it does
In the maker’s words, at launch
Hey HN, Matusa here! A friend and I have built Memora. Memora is a vector database with built-in multistage reranking, which can significantly improve search accuracy over semantic search. It also features a proprietary embedding model tailored for RAG use cases — where there's a structural mismatch between the…
Does a similar job
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Memora – Replicating Human Memory for Personalized AI, Open Source2025 · github.com · ▲5Memora gives AI the ability to recall memories during interactions, just like humans do subconsciously. For now, it’s just text-based memories, but our vision extends to the full spectrum of human memory: emotions, audio, video. Key Features: Built-in multi-tenancy for managing multiple organizations, users, and agents. Time-stamped memories to track how information evolves over time. Scalable, modular, and developer-friendly design. GitHub: https://github.com/ELZAI/memora Install: pip install memora-core We’re looking for feedback and contributions, let’s change how we…
MemoraMay 2026 · radotsvetkov.github.io · ▲4AI coding agent. Single binary. Any model. Full audit trail.
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