Weaviate
Qdrant
Milvus
pgvecto.rs
txtai
Zilliz
Vespa.ai
EVA DB
n8n.io
Zapier
Make.com
ifttt
Microsoft Power Automate
Node-RED
Apache Airflow
Huginn
WeaviateBased on our record, n8n.io should be more popular than Weaviate. It has been mentiond 169 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.
Weaviate: An open-source, cloud-native vector database built for scalable and fast vector searches. It's particularly effective for semantic search applications, combining full-text search with vector search for AI-powered insights. - Source: dev.to / 3 months ago
Weaviate is an open-source vector search engine with out-of-the-box support for vectorization, classification, and semantic search. It is designed to make vector search accessible and scalable, supporting use cases such as semantic text search, automatic classification, and more. - Source: dev.to / 4 months ago
Congrats to them! What have your experiences with vector databases been? I've been using https://weaviate.io/ which works great, but just for little tech demos, so I'm not really sure how to compare one versus another or even what to look for really. - Source: Hacker News / 4 months ago
A RAG implementation's quality and performance highly depend on the similarity-based search of embeddings. The challenge arises from the fact that embeddings are usually high-dimensional vectors, and the knowledge base may have many documents. It's not surprising that the popularity of LLM catalyzed the development of specialized vector databases like Pinecone and Weaviate. However, SQL databases are also evolving... - Source: dev.to / 5 months ago
To find semantically similar texts we need to calculate the distance between vectors. While we have just a few short texts we can brute-force it: calculate the distance between our query and each text embedding one by one and see which one is the closest. When we deal with thousands or even millions of entries in our database, however, we need a more efficient way of comparing vectors. Just like for any other way... - Source: dev.to / 7 months ago
I believe you can achieve that with n8n. Used in past (and still running) for some data transformation and little more. Possibly similar case what are you describing. https://n8n.io/. - Source: Hacker News / about 1 month ago
A startup, "DevOps Solutions" adopts Helm to streamline their Kubernetes deployments. You're a consultant tasked with creating a basic Helm Chart for n8n. It should be customizable for different environments using values. - Source: dev.to / 4 months ago
Https://n8n.io/, https://github.com/huginn/huginn, https://automatisch.io/, https://www.activepieces.com/ and theres a lot more... I've used n8n, node-red, and huginn (a while back), but imo n8n has been the simplest off the shelf. - Source: Hacker News / 4 months ago
n8n.io - a powerful workflow automation tool. - Source: dev.to / 6 months ago
Or other OSS projects that are similar, like https://n8n.io/. - Source: Hacker News / 8 months ago
Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Make.com - Tool for workflow automation (Former Integromat)
pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
