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#

vector-store

Here are 100 public repositories matching this topic...

milvus

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.

  • UpdatedDec 18, 2025
  • Cuda

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

  • UpdatedJan 2, 2025
  • TypeScript

Harnessing the Memory Power of the Camelids

  • UpdatedOct 19, 2023
  • Python

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

  • UpdatedDec 12, 2025
  • Jupyter Notebook
spring-ai-showcase

Semantic product search on Databricks

  • UpdatedJun 18, 2025
  • Python

🗲 A high-performance on-disk dictionary.

  • UpdatedDec 4, 2025
  • Python

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

  • UpdatedOct 16, 2025
  • C#

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

  • UpdatedFeb 3, 2025
  • Jupyter Notebook

just testing langchain with llama cpp documents embeddings

  • UpdatedJun 18, 2024
  • Python

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.

  • UpdatedSep 6, 2024
  • JavaScript

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.

  • UpdatedMay 29, 2025
  • Python

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

  • UpdatedApr 25, 2025
  • Python

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.

  • UpdatedApr 22, 2024
  • Python

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.

  • UpdatedJul 14, 2025
  • Python

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.

  • UpdatedAug 19, 2023
  • TypeScript

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