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what do you think?

GitHub Repo: github.com/zilliztech/memsearch

Documentation: https://zilliztech.github.io/memsearch/

Claude code plugin: https://zilliztech.github.io/memsearch/claude-plugin/


Welcome to Try It and let us know What You Think


vector search solutions mentioned in this post:

Milvus

Qdrant

Weviate

Open Search

Pgvector

Redis

Cassandra

Solr

Vespa

Pinecone

Vertex AI


Are hallucinations really simply failures?


any thoughts?


what do you think?


it's annoying to me that there's not a doc store with vectors. seems like the vector dbs just store the vectors I think.


Elasticsearch and MongoDB Atlas and PostgreSQL and SQLite all have vector indexes these days.


> MongoDB Atlas

It took a while but eventually opensource dies.


My search service Lens returns exact spans from search, while having the best performance both in terms of latency and precision/recall within a budget. I'm just working on release cleanup and final benchmark validation so hopefully I can get it in your hands soon.


Pinecone allows 40k of metadata with each vector which is often enough.


Elasticsearch and Vespa both fit the bill for this, if your scale grows beyond the purpose-built vector stores.


chroma stores both


As does Azure's AI search.


I just use sqlite


This looks pretty cool


I am not a designer but i used figma a lot for website projects. It is good but it took sooooooo long to load the files... even though I downloaded a desktop, still very slow.. anybody met with the same issue?


thank you. welcome to try it and let us know what you think about it. Any feedback is welcome, positive or negative.


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