Retrieval Augmented Generation

Deploy n8n with Docker Compose for Automating AI Workflows

AI as a Service, Container Orchestration, Data Pipelines, Docker, Locally Hosted AI, n8n, Open Source AI, Retrieval Augmented Generation, Self Hosted AI, Vector Databases

n8n is a data integration & workflow automation tool that can be self hosted on your own infrastructure. Compared to cloud-based automation platforms such as Zapier, Integromat, Make, or the cloud version of n8n, self hosting has two major benefits.…

AI Document Data Pipelines with S3 or Azure Blob Storage

AI Infrastructure

Airbyte, AWS, Azure, BionicGPT, Data Pipelines, Generative AI, NextCloud, Object Storage, Open Source AI, Retrieval Augmented Generation, Vector Databases

Document data pipelines allow for the creation of automated workflows where an embedding model extracts text from documents added to a share and converts them into vector values that AI/ML applications can use for semantic search and as context for…

ELT Data Pipelines with Airbyte & BionicGPT for AI RAG

AI Infrastructure

BionicGPT, Data Pipelines, Generative AI, Kubernetes, Open Source AI, PostgreSQL, RabbitMQ, Retrieval Augmented Generation, Vector Databases

BionicGPT is an open source AI chat platform with features for teams to upload and share datasets for retrieval augmented generation using large language models. With role based access control, it is designed with a hierarchical user structure where team…

AlloyDB Vector Database for Retrieval Augmented Generation

AI Infrastructure

AlloyDB, Embeddings Models, Generative AI, Google Cloud, LibreChat, PostgreSQL, Retrieval Augmented Generation, Vector Databases

AlloyDB is a fork of PostgreSQL on Google Cloud, optimized for high performance with vector embedding & retrieval workloads. As a PostgreSQL-compatible database, AlloyDB can be used as a drop-in replacement for any application that relies on a Postgres backend.…

Local Embeddings with Hugging Face Text Embedding Inference

AI Infrastructure

Embeddings Models, Generative AI, LibreChat, Open Source AI, pgVector, Retrieval Augmented Generation, Vector Databases

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,…

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.…

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…

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.…