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
The fastest in production VectorDB yet
What do you like best about the product?
The speed. Hands down. QPS and the throughput is just the best in the industry. Easiest to get started with. Good support for parallel processing and batching.
What do you dislike about the product?
Nothing, just could release more complex document related retrieval systems.
What problems is the product solving and how is that benefiting you?
Semantic search is hands down a new way to search which is extremely efficient. Pinecone does a great job at not only providing the vector DBMS but giving the oppurtunity for scale.
A Reliable and Consistent Performance
What do you like best about the product?
Pinecone has been a game-changer for our company, especially in the realm of vector embeddings. What stands out the most is its robust performance and reliability. Over the six months of our usage, we have not encountered any downtime, which is crucial for our operations. The consistency in performance has been remarkable, ensuring that our data-driven processes run smoothly and efficiently. Its seamless integration have made it an indispensable tool in our tech stack.
What do you dislike about the product?
As of now, we haven't encountered any significant issues or drawbacks with Pinecone. It has met all our expectations and requirements efficiently. However, we are always on the lookout for new features and improvements that can further enhance our experience and capabilities with the platform.
What problems is the product solving and how is that benefiting you?
Pinecone has been instrumental in efficiently managing vector embeddings, a critical component in our applications like similarity search and recommendation systems. Its scalability and consistent performance, coupled with zero downtime, have significantly improved our operational efficiency and user experience. By simplifying infrastructure management and enabling rapid integration, Pinecone has allowed us to focus on core business functions, accelerating development cycles and enhancing overall service quality. This reliability and efficiency have been key to maintaining high service levels and staying competitive in our market.
User and Developer-friendly Vector Database that has helped our company scale
What do you like best about the product?
Pinecone has helped our company, fevr.io, scale our semantic chat functionality across three key regional markets. The responsiveness and ease of implementation has been a huge plus for our developers. The documentation has been very helpful as well, especially in terms of integrations with products like OpenAI and Langchain. Add to that, the customer support has been tremendously useful.
What do you dislike about the product?
While not necessarily a negative feedback, having even more research data on how different dimensions and pods affect various responses would be a helpful resource to have as a reference.
What problems is the product solving and how is that benefiting you?
Storing embeddings of documents is quite costly and difficult to manage. Pinecone solves this with solutions that are easy to implement with OpenAI's API. It allows for rapid prototyping of custom chat models.
Vector database that just works
What do you like best about the product?
We did a lot of research on vector databases at Refsee.com and tried many things: embedded db into the docker image served at AWS Lambda (believe me, that's not what you want), Milvus, Pinecone etc.
We always had problems and necessity of extra tuning before, both with self-hosted OSS dbs and managed ones, but Pinecone really did the trick! It just works!
What do you dislike about the product?
As usual, if you choose managed solution you get a vendor lock. Probably can be costly if you scale and no option for on-prem installation
What problems is the product solving and how is that benefiting you?
We do vector search over our own datasets – basically a "google images" on our own data
