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
Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Business Operation Automation. Join our Community: https://discord.gg/DbjBMJTSWD
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.
Build real-time multimodal AI applications 🤖🎙️📹
A versatile multi-modal chat application that enables users to develop custom agents, create images, leverage visual recognition, and engage in voice interactions. It integrates seamlessly with local LLMs and commercial models like OpenAI, Gemini, Perplexity, and Claude, and allows to converse with uploaded documents and websites.
C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.
Python client library for improving your LLM app accuracy
Agent-based modeling framework in Julia
Playback Electron App
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.
A fast and lightweight framework for creating decentralized agents with ease.
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