We use Pinecone for our custom AI chatbot, and it has helped us deliver a broader, more scalable range of information through the bot. Overall, it’s made it easier for us to support a larger knowledge base and provide a more consistent chatbot experience. Review collected by and hosted on G2.com.

We’re planning to release our chatbot in the fall, and we’re a bit nervous about the linear pricing scale. If usage ends up being high, we don’t want to be forced to rebuild or rework things just because it’s being used a lot. Review collected by and hosted on G2.com.

Pinecone’s biggest advantage is its “zero-ops” fully managed infrastructure, which lets developers build semantic search, RAG, and AI applications without needing to manually manage servers, tune indexing algorithms, or re-shard databases as their datasets grow. Review collected by and hosted on G2.com.

Closed-source, vendor lock-in, and limited observability and tuning. Review collected by and hosted on G2.com.

User-friendly, plenty of hosting options even in free tier, hosting taken care by pinecone, easy to integrate with RAG projects Review collected by and hosted on G2.com.

While Pinecone excels at similarity search, it might lack some advanced querying capabilities that certain projects might require. Review collected by and hosted on G2.com.

I use PineCone for quick prototyping on my local machine. It’s an easy way to get started with a RAG pipeline. It’s serverless, and I can create multiple namespaces while using the free tier. Review collected by and hosted on G2.com.

The pricing is a little confusing. It’s hard to convince clients because the cost calculation feels overly complex. I also wish it offered self-hosting, due to privacy and data sovereignty concerns. Review collected by and hosted on G2.com.

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.

Pinecone stands out for its low-latency similarity search, managed scalability, and developer-friendly APIs. It removes much of the operational burden of running vector databases, making production-grade semantic search significantly easier. Review collected by and hosted on G2.com.

Pinecone delivers excellent performance, but improved cost predictability, more granular configuration options, and greater transparency in scaling behavior would further enhance the developer experience. 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.