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Based on our record, Hugging Face seems to be a lot more popular than LangFlow. While we know about 299 links to Hugging Face, we've tracked only 1 mention of LangFlow. 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.
By default, it uses OpenAI's API with the gpt-3.5-turbo model, but it will work with any service that has an OpenAI-compatible API, as long as the model supports tool calling. This includes models you host yourself, Ollama if you're developing locally, or models hosted on other services such as Hugging Face. - Source: dev.to / about 3 hours ago
During the initial phase of the project, leveraging the underlying Kubernetes architecture, we adopted a storage versioning approach inspired by Hugging Face. We used Git for management—including branch and version control. However, practical implementation revealed significant drawbacks. Our laboratory members were not familiar with Git operations. This led to frequent usage issues. - Source: dev.to / about 8 hours ago
You can easily scale this to 100K+ entries, integrate it with a local LLM like LLama - find one yourself on huggingface. ...or deploy it to your own infrastructure. No cloud dependencies required 💪. - Source: dev.to / 22 days ago
Compatibility with standard tools: Functions with OCI-compliant registries such as Docker Hub and integrates with widely-used tools including Hugging Face, ZenML, and Git. - Source: dev.to / 29 days ago
Hugging Face's Transformers: A comprehensive library with access to many open-source LLMs. https://huggingface.co/. - Source: dev.to / about 2 months ago
Langflow is a visual IDE for building generative and agentic AI workflows. It simplifies creating complex AI flows, enables quick iteration, and integrates seamlessly with applications. - Source: dev.to / 3 months ago
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