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Efficient and user-friendly, Ideal for vector database newcomers
What do you like best about the product?
I recently started using Pinecone and was impressed with how user-friendly it is, especially for someone new to vector databases. Its standout feature is its focus on doing one thing exceptionally well. The documentation is clear and easy to follow, making the setup process smooth. Both indexing and query times are impressively fast, which significantly enhances efficiency. I chose Pinecone over other options because it supports larger vector sizes, a key requirement for my needs. Highly recommend Pinecone for its simplicity, speed, and capabilities.
What do you dislike about the product?
There are a couple of areas where Pinecone could improve. First, the options for datacenter hosting are limited. For instance, if using AWS, it currently only supports the us-east-1 region, which can be restrictive. Second, the console lacks robust security measures for critical actions. Adding a Multi-Factor Authentication (MFA) verification for deleting indexes and projects would enhance security and prevent accidental data loss.
What problems is the product solving and how is that benefiting you?
Pinecone plays a crucial role in our workflow by efficiently storing vectors from OpenAI Embeddings. This capability allows us to effectively identify and link related content across various features of our platform. The result is a more cohesive and intuitive user experience, as we can seamlessly connect relevant information and offerings. This not only enhances our platform's functionality but also significantly improves user engagement and satisfaction.
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Useful product for those who know what to do with it.
What do you like best about the product?
It is a fast and efficient vector database.
What do you dislike about the product?
The web-interface leaves many features to be desired.
It is quite a bit on the pricier side.
It is quite a bit on the pricier side.
What problems is the product solving and how is that benefiting you?
We use it to hold educational material
Highly recommend
Pinecone's vector database, with its exceptional performance and user-friendly interface, earns a solid five-star rating. It excels in managing large-scale vector data, offering both fast and accurate search capabilities. The integration process is straightforward, making it accessible for various applications, particularly in machine learning and AI-driven contexts.
Great vector database that has the necessary compliance
What do you like best about the product?
It's very reliable, easy to set up and has both SOC 2 and HIPAA compliance.
What do you dislike about the product?
No way to see the list of all the IDs in your collection.
What problems is the product solving and how is that benefiting you?
Handling similarity searches
I couldn't be more pleased
What do you like best about the product?
I have a Pinecone index that I've had to double in size three times now to handle the nearly 10 million vectors I have stored. Despite the increase in size, the search speed has remained constant, and upsert speed has actually increased.
What do you dislike about the product?
This may not be unique to Pinecone, but you need to make sure you figure out your data schema up front because it requires some work to change records at scale if you want to add or modify metadata.
What problems is the product solving and how is that benefiting you?
Fast speed and fully managed. I don't have to worry about anything other than paying the bill.
Easy to Get Up and Running & Performant
We are happy with our decision to build on top of Pinecone's marketplace solution. It was super easy to get up and running, and so far we have been really happy with query performance and data management features both in the Pinecone console and via the API. The developer docs are great. Would definitely be on the top of my list for the next project.
Awaiting for an expansion in the number of AWS cloud regions they are available, as of this writing us-east-1 was the only option.
Great Vector Store House
Been on Pinecone since a while and I'm quite liking it. I did try a few other competitors but the unique namespace concept and various other features makes life easier and at the moment doing great.
Great work team.. Keep it up.
Great and simple solution
At one point we tried using OpenSearch since our application is solely hosted in AWS, but we found it to be too expensive and troublesome to setup and maintain. Pinecone was a great help for us since everything is quite easy, the latency is good (less than one second to do vector comparisons, our dataset has millions of observations), and is less expensive than Opensearch (also the pricing is more straight-forward).
There are some extra functionalities we would like to have in pinecone, like getting all results from a query that are above a certain threshold (and not just top_k) but that is minor. I think it is a pretty solid option for vector search applications.
Quick setup, fast vector queries
The setup process was quick and easy to follow, and being able to manage billing through our existing AWS account is a bonus. We have found Pinecone easy to use and very performant.
Pinecone AWS Marketplace review
Pinecone API is straightforward and well-documented, making it easy to get started with. Pinecone can handle large-scale vector search tasks while maintaining speed and accuracy. Pinecone has a great developer community which helps in getting support for any major issues quickly
Integration into AWS marketplace makes it easy for us to keep all the billing systems in one place
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