Pinecone Reviews & Product Details

The service is self-managed by Pincone, so there is no need for separate billing; it can be handled directly through your cloud service provider, such as the AWS Marketplace. Defining and creating a vector instance according to the dimensions and parameters of your embedding models is straightforward. I found it quite simple to integrate with both AWS Bedrock and GCP Vertex AI services. In my experience, querying data is faster compared to other services I have used so far. This service is in our daily use as a backbone for our AI services. Review collected by and hosted on G2.com.

If you are using the trial version, you are required to create your instance in the US only. However, since I work in banking, this presents a compliance issue regarding data location. They should offer trial access in other countries as well, or consider implementing different limitations instead of restricting by region. Review collected by and hosted on G2.com.

its provide various of features and great vector db support Review collected by and hosted on G2.com.

may be it is close source and needed some features which are not there yet. Review collected by and hosted on G2.com.

Pinecone excels in providing a seamless, high-performance vector search experience. Its ease of use, combined with powerful features like real-time updates and scalability, makes it a go-to solution for managing complex vector data. The ability to effortlessly integrate with existing workflows and its top-notch customer support are definite highlights. Review collected by and hosted on G2.com.

While Pinecone is robust, the pricing can be a bit steep for smaller projects or startups. Additionally, more granular control over indexing options would enhance customization for advanced users. However, the benefits far outweigh these minor drawbacks. Review collected by and hosted on G2.com.

Pinecone was our primary choice and we have not considered changing since.

- High performance (upsert and search in the ms)

- Simple integration via API and deployment and now after their recent release of serverless indexes it's very simple to maintain and scale (it's autoscaling).

- Low price (relative to the number of vectors) and free limited indexes. Free indexes are great to run development environment data. For a while it was impossible to upgrade a free index to a paying one, but this is now addressed.

- Incredible support (we had an issue and was not expecting getting this quality of support without paying the usual business support fees of an AWS for example)

- The ability to assign metadata is very useful (we still maintain a traditional db to keep track of the vectors)

- The single stage query vector/metadata is very useful and saves the headache of over-querying

- One feature we have meant to use is the use of sparse vectors in combination with the dense vectors. So, can't really comment yet Review collected by and hosted on G2.com.

Love most of it as is

- The documentation using metadata and single stage queries is a bit light

- They have a smart bot to help answer support questions. On the great side, it seems they use their own technology for RAG type of application, but on the other it often misses the mark. ChatGPT or Perplexity are surprisingly more effective.

- There has been a few down times, but they are very communicative about them and maintain a server health page for each endpoint. It's usually related to a specific infrastructure (AWS or GCP) they run on.

- They have been growing and improving the technology, and like with other player, sometimes to update their python library or the way to reference to the indexes. But each time it's been toward simplification, and I suspect it will stabilize. Review collected by and hosted on G2.com.

Pinecode offers a simple API and lean management interface for a completely low maintenance vector storage and query solution. Review collected by and hosted on G2.com.

I started using Pinecone when it was new and had some rough edges. But support was proactive and smart. In the last year I can say there is nothing to not like. It has been awesome. Review collected by and hosted on G2.com.

Pinecone is great for super simple vector storage, and with the new serverless option the choice is really a no-brainer. I've been using them for over a year now in production, and their Sparse-Dense offering made a huge impact on the quality of retrieval (domain-heavy lexicon). The tutorials and content on site are both extremely well-thought out and presented, and the one or two times I reached out to support they cleared up my misunderstandings in a courteous and quick manner. But seriously, with serverless now, I'm able to offer insane features to users that were cost-prohibitive before. Review collected by and hosted on G2.com.

I can tell you what used to be challenging: which was cost monitoring and the web interface, both issues which have been drastically improved in the recent months. The web interface is still a bit cumbersome to use, but that's only because vector storage/search is not what you would expect coming from other "content" management systems. There isn't a lot of hand-holding like you might find elsewhere, but really—if you're in this space, you do have to do a lot of work on your own anyways. Hard to find something to dislike when it "just works." Review collected by and hosted on G2.com.

It is specialised in AI driven use cases with real time and low latency search giving seamless integration into machine learning workflows with scalable infrastruture optimized for unstructured and semi-structured data in AI applications. Review collected by and hosted on G2.com.

It has limited focus that is related only with the vector data with no major focus on Business intelligence in data transformation tool.

Also it's use case is little complex with lack of ecosystem integration. Review collected by and hosted on G2.com.

Easy to use. very reliable and fast. Competitive price Review collected by and hosted on G2.com.

Maybe some extra features would be nice, and some more clarity into its AKNN algo, which is hidden from the user Review collected by and hosted on G2.com.

I have been using pinecone for embeddings and it is cheaper and reliable compared to other embedding services. Review collected by and hosted on G2.com.

I dislike the overall feel which feels lightweighed for the product service documentation.

I love to see pinecone assistant in deployable version because it is powerful yet it is in the beta version only for testing not for production Review collected by and hosted on G2.com.

when iam creating embeddings,compared to other products,it feels hassle free& cheap. Review collected by and hosted on G2.com.

I am the beta tester of pinecone AI assiatant,it is not production ready so it feels like only for testing,i am expecting for the production ready version. Review collected by and hosted on G2.com.