LiteLLM

Llama 3 on Cloudflare Workers AI – AI at the Edge

AI as a Service, Cloud Run, CloudFlare, Docker, Edge AI, Generative AI, LibreChat, LiteLLM, Llama 3, NextCloud, Open LLM Models

Cloudflare Workers is a serverless computing platform leveraging Cloudflare’s global network of datacenters, also known as edge locations, in over 300 cities and 100 countries around the world. The Workers service is used by Cloudflare’s customers to host & run…

Deploy Anthropic Claude 3 with AI Models-as-a-Service

AI Infrastructure

AI as a Service, Amazon Bedrock, Anthropic, ChatGPT Alternative, Claude 3, Generative AI, LibreChat, LiteLLM, Models as a Service, Vertex AI

Anthropic Claude 3 Opus first debuted in Mar 2024, as a GPT-4 class AI model that outperforms OpenAI GPT-4 in some synthetic benchmarks & real-world tests, like attaining competitive scores on standardized exams such as the MBE (Multi State Bar…

Llama 3 AI Model Serving with Ollama & LiteLLM

AI Infrastructure

AI Middleware, AI Proxy, LibreChat, LiteLLM, Llama 3, Ollama, Open AI Models

In mid-Apr 2024, Meta debuted the Llama 3 AI model, the latest iteration of its open source large language model. Compared to its predecessor, Llama 3 was trained on a dataset of 15 trillion tokens — 7X more training data…

RAG with any AI Model using Postgres pgVector + LibreChat

AI Infrastructure

Anthropic, Azure, Generative AI, LibreChat, LiteLLM, Ollama, OpenAI Alternative, pgVector, PostgreSQL, Retrieval Augmented Generation, Vector Databases

The addition of the RAG API microservice to LibreChat in version 0.7.0, the most rapidly trending open source ChatGPT clone, swings the door open to chatting with PDFs and documents using any supported AI model, in a private, self-hosted environment.…

Serverless Deployment of AI Middleware, LiteLLM, with Google Cloud Run

AI Infrastructure

AI Middleware, AI Proxy, Azure, Cloud Run, Generative AI, Google Cloud, LiteLLM, Microservices, Open Source AI, PostgreSQL, Serverless

AI middleware is an emerging term for the layer of the technology stack that facilitates the interfacing of AI end user applications with the Large Language Models and GPU-accelerated machines that drive them. Here are the major sub-categories of this…

Retrieval Augmented Generation (RAG) with Local Embeddings

AI Infrastructure

Bionic-GPT, GenAI, Generative AI, Graph Databases, LiteLLM, Neo4j, Open LLM Models, pgVector, Retrieval Augmented Generation, Vector Databases

Retrieval Augmented Generation (RAG) could very well be the hottest topic in generative AI right now. It has been clear since ChatGPT took the world by storm that RAG is one of the best use cases of GenAI for enterprises.…

Proxies & Load Balancers for AI LLM Models (AI Middleware)

AI Infrastructure

AI Middleware, Docker, GenAI, Generative AI, HAProxy, LiteLLM, LLaMA 2, Locally Hosted AI, Ollama, Open LLM Models, OpenAI Compatible API

The Cambrianesque explosion of capable, open Large Language AI Models represents an opportunity to extend virtually any application with AI capabilities, but a strategy for managing multiple AI endpoints is clearly needed. Hosting open models in your own environment requires…