AI Infrastructure - Page 2 of 2

Embeddings models convert data into numerical representations that can be stored in a vector database, and retrieved by a large language model through a framework such as LangChain for retrieval augmented generation. A common use case is embedding unstructured data,…

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…

Integrating Azure OpenAI with Search & Retrieval Plugins for RAG

AI Infrastructure

Azure, Azure AI Search, Cognitive Search, Generative AI, LangChain, LibreChat, OpenAI Compatible API, Retrieval Augmented Generation

If you have ever used ChatGPT Plus, OpenAI’s SaaS GenAI offering, you are likely familiar with the Browsing extension which retrieves current information from the Internet using Bing search to inform the GPT model’s response to the user’s prompts. One…

AI Retrieval Augmented Generation in the (Virtual) Private Cloud

AI Infrastructure

ChatGPT Alternative, GenAI, Generative AI, Open LLM Models, Open Source AI, Private AI, Retrieval Augmented Generation

Retrieval Augmented Generation (RAG) is an AI technique for getting more tailored responses from a foundation model, without the need for training or fine-tuning a model from scratch. Large Language Models, such as Meta’s LLaMA 2, provide high quality responses…

GPU Inference with Ollama or TGI on Google Cloud

AI Infrastructure

Container Orchestration, GenAI, Generative AI, GPUs, Locally Hosted AI, NVIDIA CUDA, Ollama

GPUs increase the speed of LLM inference and embedding by an average of an order of magnitude or more, enabling a model to generate tokens as quickly as a user can read. As a typical reading speed is two to…

Run Open AI Models for Enterprise with a ChatGPT “Clone”

AI Infrastructure

BionicGPT, ChatGPT Alternative, GenAI, Generative AI, LibreChat, Open AI Models, Open LLM Models, Open Source AI, OpenAI Compatible API, Self-Hosted Apps

Are you looking for an alternative to ChatGPT Enterprise with no minimum number of seats or annual contract, with enterprise features such as single-sign on (SSO) through Google Workspace, OpenID, or Microsoft Entra ID? It is worth considering running an…

Retrieval Augmented Generation (RAG) with Local Embeddings

AI Infrastructure

BionicGPT, 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…

Locally Hosted Open Source LLM AI Models

Private, Local AI with Open LLM Models

AI Infrastructure

GenAI, Generative AI, GPT4All, LLaMA 2, LocalAI, Open LLM Models, Open Source AI, OpenAI Alternative, OpenAI Compatible API, Private AI, Self Hosted AI

To date, most implementations of AI in applications using GPT Large Language Models (LLMs) rely on calling the OpenAI API, which surprisingly, contrary to what its name might suggest, is not open-source. This pattern has become so common that a…