
CouchBase
MongoDB
Redis
ArangoDB
CouchDB
Apache Cassandra
OrientDB
Azure Cosmos DB
Spell
Neuton.AI
Open Text Magellan
TensorFlow
Algorithmia
Kira
neptune.ai
BAAR
CouchBaseBased on our record, CouchBase seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I used a mix of tools to build this project, each handling a different part of the process. Google ADK helps run the AI agents, Couchbase stores past Kubecon talks data and performs the vector search, and Nebius Embedding model for generating embeddings and LLM models (Example: Qwen) generates summaries and talk abstracts. - Source: dev.to / about 1 year ago
It is therefor with great satisfaction we hereby announce that we might sponsor your Open Source project with your own custom AI chatbot built on top of ChatGPT and our AI chatbot technology. To show you an example of how this might look like, consider the following chatbot we've created for CouchBase. - Source: dev.to / about 3 years ago
I think the URL is linked from https://couchbase.com/ or cloud.couchbase.com. Source: almost 5 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Neuton.AI - No-code artificial intelligence for all
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.