vector-store

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

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.

Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions

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

Harnessing the Memory Power of the Camelids

A low-latency, billion-scale, and updatable graph-based vector store on SSD.

Sample Spring AI Application with several use cases

⚡ Faster vector search with PDX: A vertical data layout for vectors

Semantic product search on Databricks

🗲 A high-performance on-disk dictionary.

The official Elasticsearch .NET Vector Store Connector for Microsoft Semantic Kernel.

just testing langchain with llama cpp documents embeddings

Multi-User Chatbot with Langchain and Pinecone in Next.JS

Chat with your PDFs using AI! This Streamlit app uses RAG, LangChain, FAISS, and OpenAI to let you ask questions and get answers with page and file references.

A Question Generation Application leveraging RAG and Weaviate vector store to be able to retrieve relative contexts and generate a more useful answer-aware questions

AgriGenius: AI-Powered Agriculture Chatbot is a Python web application designed to empower farmers with information accessibility. AgriGenius leverages a Retrieval-Augmented Generation model to address farmer's agricultural queries with precise answers.

The AI Assistant uses OpenAI's GPT models and Langchain for agent management and memory handling. With a Streamlit interface, it offers interactive responses and supports efficient document search with FAISS. Users can upload and search pdf, docx, and txt files, making it a versatile tool for answering questions and retrieving content.

A simple way to convert and manage files in vector storage.

A command-line tool that ingests documents and generates instant answers to your questions about those documents using ChatGPT, giving you the Sheldon Cooper you never had at your fingertips.