A list of software that allows searching the web with the assistance of AI.

CodeRAG-Bench: Can Retrieval Augment Code Generation?

'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.

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

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.

AI-based search engine done right

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.

An Art-Deco ChatBot that utilizes RAG using performative Pulsejet vector database. Benchmarking of RAG vs. LLMs on QA and timing

Techniques for Using LLMs Effectively: An Introduction to Prompt Engineering, Retrieval Augmented Generation, and Toolformer

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

Web application to help develop scraping techniques to create context in LLM prompts.

Retrieval-Augmented Generation using Azure OpenAI

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.

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

Use the OpenAI API to connect to the Elasticsearch search engine, and then recommend relevant content or products to users.

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).

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

A curated list of LLM aided with Retrieval Augmented Generation (RAG)