:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

Superfast AI decision making and intelligent processing of multi-modal data.

Efficient Retrieval Augmentation and Generation Framework

Unify Efficient Fine-tuning of 100+ LLMs

This repository provides a comprehensive guide and implementation of RAG (Retrieval-Augmented Generation) for building state-of-the-art conversational AI chatbots.

Open-source observability for your LLM application, based on OpenTelemetry

🚀 Open-source platform for evaluating and monitoring LLMs. Integrates with OpenAI, Cohere and Anthropic with stable SDKs in Python and Javascript.

💬 Personal AI application powered by GPT-4 and beyond, with AI personas, AGI functions, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy and gift #big-AGI-energy! Using Next.js, React, Joy.

This open-source repository offers reference code for integrating workplace datastores with Cohere's LLMs, enabling developers and businesses to perform seamless retrieval-augmented generation (RAG) on their own data.

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/

Structured Text Generation

No-code platform to build LLM Agents, workflows and applications with your data

🪢 Open source LLM engineering platform. Observability, metrics, evals, prompt management 🍊YC W23 🤖 SDKs + integrations for Typescript, Python, OpenAI, Langchain, LlamaIndex, Litellm

Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.