LlamaIndex is a data framework for your LLM applications
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Updated
Jun 12, 2024 - Python
LlamaIndex is a data framework for your LLM applications
Unified framework for building enterprise RAG pipelines with small, specialized models
🔥 🔥 🔥 QRev is an Open Source AI First alternative to Salesforce. It's what Salesforce would be if it was built today, starting with AI.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.
AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
Easy to use Verifiable AI and smart contracts interoperability.
Pandora FMS is an open source monitoring application whose origin dates back to 2004. It integrates in the same application the monitoring of different infrastructure elements: networks, applications, servers, web, and other specific data sources such as logs, WMI, Netflow or SNMP traps.
The World's Largest Decentralized AGI Multimodal Dataset
Composio equips agents with well-crafted tools empowering them to tackle complex tasks
Open-source alternative to Assistant's API with a managed backend for memory, RAG, tools and tasks. ~Supabase for building AI agents.
AI Actions connect Agents to your existing enterprise systems and applications - all in 🐍 Python.
Agent-based modeling framework in Julia
Created for personal use, it’s a simple, easy-to-read ReAct (agent) framework on top of Ollama. I found agent libraries extremely abstract, while all we need are clear workflows and prompts.
This repository contains implementation of how we can build AI Agents from scratch and assign specific tasks to them.
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