{"repo":"dblock/vectordb-hello-world","free":true,"listed":false,"github":"https://github.com/dblock/vectordb-hello-world","clone":"git clone https://github.com/dblock/vectordb-hello-world.git","description":"Examples of vector DB indexing and query with various vector databases.","language":"Python","stars":13,"topics":["chroma","clickhouse","opensearch","pgvector","pinecone","qdrant","redis","vector-database-embedding","vector-database-search","vectors"],"license":"Apache-2.0","category":"databases-storage","readme_excerpt":"- VectorDB Hello World - Developing - License - Copyright VectorDB Hello World Samples, in alphabetical order, of querying vector DBs without using vendor-specific clients where possible. Companion code to this blog post. See DEVELOPER GUIDE if you need to get setup with Python and poetry before running these. Chroma ClickHouse MongoDB MyScale OpenSearch pgVector Pinecone Qdrant Redis Vespa Weaviate Developing See DEVELOPER GUIDE. License This project is licensed under the Apache v2.0 License. Copyright Copyright Daniel Doubrovkine, and contributors.","default_branch":null,"files":null,"tree":[],"storefront":"/r/dblock","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/dblock/vectordb-hello-world/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."}