MichaelOC23
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A simple repository that houses a basic Ollama + LangChain setup for function calling with LLMs
This repo brings numerous use cases from the Open Source Ollama
OCR, layout analysis, reading order, line detection in 90+ languages
Generative models for conditional audio generation
Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic…
🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
llama and other large language models on iOS and MacOS offline using GGML library.
The Langflow Embedded Chat is a powerful web component that enables seamless communication with the Langflow
⛓️ Langflow is a visual framework for building multi-agent and RAG applications. It's open-source, Python-powered, fully customizable, model and vector store agnostic.
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
Drag & drop UI to build your customized LLM flow
Playground to test local LLMs with ollama, with functionalities such as function calling
This repository contains a Python implementation that allows you to use gorilla-llm/gorilla-openfunctions-v2 LLM to perform function calling using the OpenAI protocol. It provides a way to extend t…
A tool for generating function arguments and choosing what function to call with local LLMs
ShishirPatil / skyplane
Forked from skyplane-project/skyplane🔥 Blazing fast bulk data transfers between any cloud 🔥
A library that manages tools (functions) for Local LLMs
A macOS app for interacting with the Ollama models
Use Ollama to talk to local LLMs in Apple Notes
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our c…
HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents.
