vector-store
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Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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Dec 18, 2025 - Go
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.
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Dec 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
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Jan 2, 2025 - TypeScript
cuVS - a library for vector search and clustering on the GPU
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Dec 18, 2025 - Cuda
Harnessing the Memory Power of the Camelids
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Oct 19, 2023 - Python
A low-latency, billion-scale, and updatable graph-based vector store on SSD.
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Dec 12, 2025 - Jupyter Notebook
Sample Spring AI Application with several use cases
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Dec 8, 2025 - Java
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Jul 18, 2025 - Python
Semantic product search on Databricks
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Jun 18, 2025 - Python
🗲 A high-performance on-disk dictionary.
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Dec 4, 2025 - Python
The official Elasticsearch .NET Vector Store Connector for Microsoft Semantic Kernel.
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Oct 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
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Feb 3, 2025 - Jupyter Notebook
just testing langchain with llama cpp documents embeddings
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Jun 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.
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Sep 6, 2024 - JavaScript
Multi-User Chatbot with Langchain and Pinecone in Next.JS
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Jun 22, 2023 - TypeScript
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.
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May 29, 2025 - Python
A simple way to convert and manage files in vector storage.
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Apr 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.
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Apr 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.
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Jul 14, 2025 - Python
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