The framework for fast development and deployment of RAG systems.

'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker

Open source implementation of Sova - RAG-based Web search engine using power of LLMs. Using Langchain, Ollama, HuggingFace Embeddings and scraping google search results.

AI-based search engine done right

Source code for the Gilded Age Gourmet, a cooking chat app based on the Boston Cooking-School Cook Book.

This is a RAG based chatbot in which semantic cache and guardrails have been incorporated.

This example repository illustrates the usage of LLMs with Quarkus by using the quarkus-langchain4j extension to build integrations with ChatGPT or Hugging Face. The code dives into simple conversations, retrieval augmented generation (RAG) and building agents.

This is a RAG implementation using Open Source stack. BioMistral 7B has been used to build this app along with PubMedBert as an embedding model, Qdrant as a self hosted Vector DB, and Langchain & Llama CPP as an orchestration frameworks.

An Art-Deco bot that utilizes RAG. Benchmarking of RAG vs. LLMs on QA and timing

Source code for the Gilded Age Gourmet, a cooking chat app based on the Boston Cooking-School Cook Book

Advancing the next generation of Retrieval Augmented Generation (RAG): A dynamic exploration of RAG technology's evolving landscape. This repository is the go-to resource for state-of-the-art developments, conceptual advancements, and the future trajectory of AI-driven information retrieval and generation.

Retrieval-Augmented Generation using Azure OpenAI

a sophisticated recommendation system for CNC machines, leveraging state-of-the-art AI technology, and integrating the capabilities of Google's Gemini 1.0 API

Build an efficient Python-based Retrieval-Augmented Generation (RAG) system for contextual query answering over personal data, all with natural language using ChatGoogleGenerativeAI (gemini-pro).

💬🤖 Build a better chatbot 🤖💬