llama_index
ollama
llama_index | ollama | |
---|---|---|
76 | 226 | |
32,542 | 72,781 | |
4.2% | 14.0% | |
10.0 | 9.9 | |
4 days ago | 4 days ago | |
Python | Go | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
llama_index
- Show HN: Route your prompts to the best LLM
- LlamaIndex: A data framework for your LLM applications
- FLaNK AI - 01 April 2024
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Show HN: Ragdoll Studio (fka Arthas.AI) is the FOSS alternative to character.ai
For anyone curious llamaindex's "prompt mixins", they're actually dead simple: https://github.com/run-llama/llama_index/blob/8a8324008764a7... - and maybe no longer supported.
I basically reinvented this wheel in ragdoll but made it more dynamic: https://github.com/bennyschmidt/ragdoll/blob/master/src/util...
- LlamaIndex is a data framework for your LLM applications
- How to verify that a snippet of Python code doesn't access protected members
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🆓 Local & Open Source AI: a kind ollama & LlamaIndex intro
Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects
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I made an app that runs Mistral 7B 0.2 LLM locally on iPhone Pros
Mistral Instruct does use a system prompt.
You can see the raw format here: https://www.promptingguide.ai/models/mistral-7b#chat-templat... and you can see how LllamaIndex uses it here (as an example): https://github.com/run-llama/llama_index/blob/1d861a9440cdc9...
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Top 5 Vector Database Videos of 2023 🎥
Learn how to use Milvus as persistent vector storage with LlamaIndex in under 5 minutes.
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What's going on in the Zilliz Universe? December 2023
▶️ Read Blog 📷 Watch Demo 🦙 Notebook using Pipelines inside LlamaIndex
ollama
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SpringAI, llama3 and pgvector: bRAGging rights!
To support the exploration, I've developed a simple Retrieval Augmented Generation (RAG) workflow that works completely locally on the laptop for free. If you're interested, you can find the code itself here. Basically, I've used Testcontainers to create a Postgres database container with the pgvector extension to store text embeddings and an open source LLM with which I send requests to: Meta's llama3 through ollama.
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RAG with OLLAMA
Note: Before proceeding further you need to download and run Ollama, you can do so by clicking here.
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Ollama 0.1.42
`file://*` URLs are now allowed => ollama works with simple html files now
https://github.com/ollama/ollama/commit/1a29e9a879433fc55cf1...
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How to setup a free, self-hosted AI model for use with VS Code
This guide assumes you have a supported NVIDIA GPU and have installed Ubuntu 22.04 on the machine that will host the ollama docker image. AMD is now supported with ollama but this guide does not cover this type of setup.
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beginner guide to fully local RAG on entry-level machines
Nowadays, running powerful LLMs locally is ridiculously easy when using tools such as ollama. Just follow the installation instructions for your #OS. From now on, we'll assume using bash on Ubuntu.
- Codestral: Mistral's Code Model
- AIM Weekly 27 May 2024
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Devoxx Genie Plugin : an Update
I focused on supporting Ollama, GPT4All, and LMStudio, all of which run smoothly on a Mac computer. Many of these tools are user-friendly wrappers around Llama.cpp, allowing easy model downloads and providing a REST interface to query the available models. Last week, I also added "👋🏼 Jan" support because HuggingFace has endorsed this provider out-of-the-box.
- Ask HN: Are companies self hosting LLMs?
- Ollama v0.1.39 Pre-release. Support Phi-3 Medium
What are some alternatives?
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
llama.cpp - LLM inference in C/C++
langchain - 🦜🔗 Build context-aware reasoning applications
gpt4all - gpt4all: run open-source LLMs anywhere
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
gpt-llama.cpp - A llama.cpp drop-in replacement for OpenAI's GPT endpoints, allowing GPT-powered apps to run off local llama.cpp models instead of OpenAI.
llama - Inference code for Llama models