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Production-ready vector database to get you started quickly
- Easy-to-use Python SDK
- Production-ready with low latency at our scale (10-20M vectors)
- Good integration with the AI/LLM ecosystem
- will get expensive when hosting 100s of millions of vectors
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Solid Hosted Vector DB
Solid Hosted Vector DB
Fast VectorDB and Easy to Use
We are using pinecone since a couple of months, we found its fast, easy to use, it has great client library. Ingestion and retrieval speed is great. Collections are great way to backup vector dbs .
Easy, powerful and so far unique
We've been using Pinecone as primary store for sparse / dense vectors in several business cases since some months.
We also did a direct comparison with other solutions but so far Pinecone stands as our selection of choice.
PROs
- Cloud-base managed "as a service" solution: zero installation/maintenance effort
- Easy to implement thanks to outstanding documentation
- Best in class performances
- So far "unique" hybrid search proposition (dense=semantic and sparse=keyword vectors support)
CONs
- Management tools still not mature/complete and evolving
- Basic access control / profiling mechanisms
- Basic logging tools
- Base price for smallest index still a little high for small business cases
Generally speaking you cannot expect to find in a vector DB (which is a quite recent class of tools) the same maturity of a RDBMS, in terms of completeness of the solutions and availability of tools.
Said that, Pinecone sticks to its core job and does it smoothly, no complains so far from our side.
A pleasant plus is the huge and very comprehensive documentation available, which covers a lot of background theory as well.
We are not giving the 5th star since the product is still young, but the direction it the correct one!
Nice and easy to use
I am using Pinecone for my LLM-based app and switching to the Pay As You Go worked seamlessly. It's actually cheaper than hosting the solution.
Feedback about Pinecone
Performance is quite good for vector storage and retrieval. I feel that cost is bit at higher side. We need to know have better visibility of new features coming into future releases.