Top 6 Python vector-search-engine Projects
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txtai
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
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Project mention: Show HN: FileKitty – Combine and label text files for LLM prompt contexts | news.ycombinator.com | 2024-05-01
Project mention: Show HN: Chromem-go – Embeddable vector database for Go | news.ycombinator.com | 2024-04-05Qdrant lib project https://github.com/tyrchen/qdrant-lib, Qdrant SDK has also support for local mode, which means embeddable https://github.com/qdrant/qdrant-client
Qdrant’s benchmark results are strongly in favor of accuracy and efficiency. We recommend that you consider them before deciding that an LLM is enough. Take a look at our open-source benchmark reports and try out the tests yourself.
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Index
What are some of the best open-source vector-search-engine projects in Python? This list will help you:
Project | Stars | |
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1 | txtai | 7,265 |
2 | qdrant-client | 656 |
3 | vector-db-benchmark | 237 |
4 | citrus | 93 |
5 | benchmark | 7 |
6 | AquilaHub | 2 |