Best and affordable vector database
What do you like best about the product?
Pinecone's new serverless pricing is very affordable for small startups. It support large embeddings size, sparse & dense embedding and fast queries. It suited my needs.
What do you dislike about the product?
It has 10,000 namespace limit on serverless instance. It should be increased.
What problems is the product solving and how is that benefiting you?
I use it to store embeddings of PDF files and then ask questions using LLM models.
First and Last Stop for a Vector Database
What do you like best about the product?
Excellent user interface, excellent supporting materials and literature to learn, very easy to use, improving quite quickly. It is quite easy to implement it in integration with our existing workflow. I use it for all vector database operations.
What do you dislike about the product?
I have some very technical questions, like: will hybrid search ALWAYS be limited to dot product? But these are quite few.
What problems is the product solving and how is that benefiting you?
Making it easy to implement a vector database for semantic search in RAG applications
Effortless Vector Storage to Give Your AI App Infinite Intelligence
What do you like best about the product?
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.
What do you dislike about the product?
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."
What problems is the product solving and how is that benefiting you?
My app leverages decades of internal and external content around the business of writing great stories. Pinecone's vector database makes it easy to store all of this knowledge in a way that is easily and QUICKLY recovered based on semantic meaning. And now with serverless (and its wild affordability), I can now extend that knowledgebase to ALL of my user's stories and creations such that everyone can have their own expert assistant tailored to their particular style.
Using Pinecone for Semantic Search
What do you like best about the product?
Pinecone made it easy for my team to significantly accelerate our AI services through vector search. While vector databases have become more commonplace, they continue to introduce new features to stay on the cutting edge and add support new applications. The service is easy to setup and maintain. Theirservice is faster and more stable than some open-source alternatives that we considered.
What do you dislike about the product?
While Pinecone can be hosted on both GCP and AWS, it would be great if they also suppoted Azure. We have tested both and had the highest uptime when running PineCone on AWS.
What problems is the product solving and how is that benefiting you?
We use PineCone to accelerate vector search and cachine for nearly all our AI services. It reduces both speed and cost by reducing the need to recompute embeddings,
Great Results!
We recently made the switch to Pinecone database for our vector search needs, and we couldn't be happier with the results! The latencies are lower than we expected, making it a fast and reliable solution for us. Additionally, the metadata filtering works out of the box which is crucial for e-commerce. Overall, we highly recommend Pinecone to anyone in need of an efficient and user-friendly vector search solution.
Great Vector Database
Pinecone is a great service for anyone who needs fast and accurate vector search for their applications. I have been using Pinecone for a few months now and I am very impressed by its features and performance.
It is easy to manage multiple user accounts with Pinecone. I can invite my team members to join my projects and assign them different roles and permissions. I can also monitor their activities and usage through the web console.
It is good to have a support experience with Pinecone. They have a friendly and responsive team that is always ready to help me with any issues or questions. They also have a comprehensive documentation and a community forum where I can find answers and tips.
Easy and Dependable Vector Database
What do you like best about the product?
I really appreciate how Pinecone makes it easy to integrate vector search into applications. Its cloud-native setup and simple API mean I don't have to worry about infrastructure issues. Also, the performance is fantastic, even with massive amounts of data, and the low latency is a huge plus.
What do you dislike about the product?
Being relatively new, it lacks some features and integrations compared to more established databases. And, there's a bit of a learning curve to fully leverage its capabilities. Additionally, there are some limitations regarding customization and exportability of vectors outside of Pinecone.
What problems is the product solving and how is that benefiting you?
Semantic Search: Pinecone excels in understanding the context and meaning of queries, which is essential for accurately retrieving relevant information during meetings.
Recommendation Systems: Its ability to handle complex data makes it suitable for suggesting relevant topics or actions based on the meeting's context.
Fast & Reliable
The Pinecone pay as you go marketplace offering made it easy for us to quickly get up and running to do our evaluation of the tool. The pricing link to their website in the marketplace description is easy to understand and accurate based on our usage of the tool.
Ease to use and implementation
What do you like best about the product?
Quick to signup and implement and use it as daily basis. Performance is stable and very good.
What do you dislike about the product?
I don't have anything bad about Pinecone.
What problems is the product solving and how is that benefiting you?
We are building the RAG application.
Great for prototype to production
I started using Pinecone with a free account when prototyping a new use case for vector search. Pinecone proved easy to work with and simple to get something working off the ground into the hands of my company. I was quite pleased with the setup process moving to the AWS marketplace as we put this prototype into production. It was simple to add to our existing AWS account, the Pinecone UI connects nicely to our test account so I can switch between production and test with ease - really useful for local development and debugging. Overall found the experience working with Pinecone to be great. There are certain areas that would be great to improve, the Node library was a bit funky when I first started using it (but that was a pre 1.0 version), the dashboard in the UI could add a few additional features to navigate and visualize what is stored in the DB, but those are all minor nice to haves that I'm sure will come. The search quality and reliability has been great and that was most critical to our needs right now.l
