{"repo":"msoedov/vector_lake","free":true,"listed":false,"github":"https://github.com/msoedov/vector_lake","clone":"git clone https://github.com/msoedov/vector_lake.git","description":"S3 vector database for LLM Agents and RAG.","language":"Python","stars":60,"topics":["llm","vector-database","vector-database-embedding","vector-lake","nearest-neighbor-search","vector-search-engine","hnsw"],"license":"MIT","category":"databases-storage","readme_excerpt":"VectorLake VectorLake is a robust, vector database designed for low maintenance, cost, efficient storage and ANN querying of any size vector data distributed across S3 files. 🏷 Features - Inspired by article Which Vector Database Should I Use? A Comparison Cheatsheet - VectorLake created with tradeoff to minimize db maintenance, cost and provide custom data partitioning strategies - Native Big Data Support: Specifically designed to handle large datasets, making it ideal for big data projects. - Vector Data Handling: Capable of storing and querying high-dimensional vectors, commonly used for embedding storage in machine learning projects.projects. - Efficient Search: Efficient nearest neighbors search, ideal for querying similar vectors in high-dimensional spaces. This makes it especially useful for querying for similar vectors in a high-dimensional space. - Data Persistence: Supports data persistence on disk, network volume and S3, enabling long-term storage and retrieval of indexed data. - Customizable Partitioning: Trade-off design to minimize database maintenance, cost, and provide custom data partitioning strategies. - Native support of LLM Agents. - Feature store for experimental data. 📦 Installation To get started with VectorLake, simply install the package using pip: ⛓️ Quick Start Custom feature partition Custom partition to group features by custom category Local persistent volume Langchain Retrieval Why VectorLake? VectorLake gives you the functionality of a simpl","default_branch":null,"files":null,"tree":[],"storefront":"/r/msoedov","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/msoedov/vector_lake/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}