Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.

Minimalist web-searching app with an AI assistant that runs directly from your browser. Uses Web-LLM, Ratchet-ML, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space

Project at Friedrich-Alexander University (FAU), showcasing a dynamic document-based question-answering chatbot

cuVS - a library for vector search and clustering on the GPU

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Improve your Elasticsearch, OpenSearch, Solr, Vectara, Algolia and Custom Search search quality.

MTEB: Massive Text Embedding Benchmark

Apache Lucene open-source search software

Anserini is a Lucene toolkit for reproducible information retrieval research

The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

Elevate user interactions with ChatFAQ: your open-source chatbot solution, offering the full spectrum of ChatGPT capabilities. AI + LLM + CMS

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

Retrieval and Retrieval-augmented LLMs

This repository offers the ResumeWorth app, aimed at helping individuals find their true market value through AI-powered analysis of their resumes. It combines advanced AI with market data to provide personalized salary ranges, job matches, and resume-job match explanation, ensuring users can optimize their earnings potential.

Extensible API and framework to build your Retrieval Augmented Generation (RAG) and Information Extraction (IE) applications with LLMs

🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

BM-25 : Best Match, Attempt 25

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Text Embedding for Retrieval, Rerank and RAG

Cloud-native vector similarity search and storage with efficient, serverless scale-out