Ollama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
Based on our record, Ollama seems to be a lot more popular than AnythingLLM. While we know about 172 links to Ollama, we've tracked only 7 mentions of AnythingLLM. 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 want the LLM to search my hard drives, including for file contents. I have zounds of old invoices, spreadsheets created to quickly figure something out, etc. I've found something potentially interesting: https://anythingllm.com/. - Source: Hacker News / 4 months ago
In this tutorial, AnythingLLM will be used to load and ask questions to a model. AnythingLLM provides a desktop interface to allow users to send queries to a variety of different models. - Source: dev.to / 4 months ago
AnythingLLM is becoming my tool of choice for connecting to my local llama.cpp server and recently added MCP support. - Source: dev.to / 4 months ago
I will not cover how to install every piece, it should be straightforward. What you need is to install AnythingLLM and load a model. I am using Llama 3.2 3B, but if you need more complex operations, AnythingLLM allows you to select different models to execute locally. - Source: dev.to / 6 months ago
Anything LLM - https://anythingllm.com/. Liked the workspace concept in it. We can club documents in workspaces and RAG scope is managed. - Source: Hacker News / 10 months ago
We also need a model to talk to. You can run one in the cloud, use Hugging Face, Microsoft Foundry Local or something else but I choose* to use the qwen3 model through Ollama:. - Source: dev.to / 8 days ago
Now we will use Docker and Ollama to run the EmbeddingGemma model. Create a file named Dockerfile containing:. - Source: dev.to / 9 days ago
For the physical hardware I use the esp32-s3-box[1]. The esphome[2] suite has firmware you can flash to make the device work with HomeAssistant automatically. I have an esphome profile[3] I use, but I'm considering switching to this[4] profile instead. For the actual AI, I basically set up three docker containers: one for speech to text[5], one for text to speech[6], and then ollama[7] for the actual AI. After... - Source: Hacker News / 12 days ago
In short, Ollama is a local LLM runtime; itโs a lightweight environment that lets you download, run, and chat with LLMs locally; Itโs like VSCode for LLMs. Although if you want to run an LLM on a container (like Docker), that is also an option. The goal of Ollama is to handle the heavy lifting of executing models and managing memory, so you can focus on using the model rather than wiring it from scratch. - Source: dev.to / 12 days ago
Go to https://ollama.com/ and download it for your OS. - Source: dev.to / 30 days ago
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