TileDB-Vector-Search
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TileDB-Vector-Search | reframe | |
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3 | 7 | |
46 | 156 | |
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9.6 | 0.0 | |
3 days ago | 8 months ago | |
Jupyter Notebook | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TileDB-Vector-Search
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Ask HN: Who is hiring? (September 2023)
- vector search, utilizing TileDB and TileDB Cloud for seamless scaling: https://tiledb.com/blog/why-tiledb-as-a-vector-database (library: https://github.com/TileDB-Inc/TileDB-Vector-Search)
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Why TileDB as a Vector Database
Stavros from TileDB here (Founder and CEO). I thought of requesting some feedback from the community on this blog. It was only natural for a multi-dimensional array database like TileDB to offer vector (i.e., 1D array) search capabilities. But the team managed to do it very well and the results surprised us. We are just getting started in this domain and a lot of new algorithms and features are coming up, but the sooner we get feedback the better.
TileDB-Vector-Search Github repo: https://github.com/TileDB-Inc/TileDB-Vector-Search
TileDB-Embedded (core array engine) Github repo: https://github.com/TileDB-Inc/TileDB
TileDB 101: Vector Search (blog to get kickstarted): https://tiledb.com/blog/tiledb-101-vector-search/
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Ask HN: Who is hiring? (August 2023)
New Vector search library: https://github.com/TileDB-Inc/TileDB-Vector-Search
Our headquarters are located in Cambridge, MA and we have a subsidiary in Athens, Greece. We offer the ability to work remotely for anyone with legal residence in the US or Greece. We have several open positions aimed at increasing TileDB’s feature set, growth and adoption. You will have the opportunity to work on innovative technology that creates impact on challenging and exciting problems in Genomics, Geospatial, Time Series, and more. We have just launched a new vector search library built on top of TileDB and leveraging
We are actively seeking:
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- Custom domains for Airtable
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Ask HN: Who is hiring? (August 2023)
NNext.ai » Software Engineer » Python » Full-time » NY, NY, USA » Remote
At [NNext.ai](http://NNext.ai) (read “Next.ai”), we are building building core infrastructure to simplify the process of building, deploying, and managing LLM-powered AI agents on tabular data, making it the most efficient solution available. NNext AI enables users to combine the power of Large Language Models (LLMs) like GPT with tools like the browser and Google Search, greatly increasing your productivity on workflows you once spent countless hours on. We are building a framework specialized for tabular data such as Spread sheets, Database Tables and CSVs, thereby taking advantage of the similarities and co-dependencies amongst data.
We are lean team of engineers looking for our first full time OSS contributor. Desirable experience includes distributed systems working with tools like Celery, Dash and Redis Streams. Visibility on Github is a huge plus. Show us previous OSS software you’ve contributed to or public personal projects with significant usage.
Website: https://nnext.ai
Github: https://github.com/nnextai/aigent
Email: [email protected]
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[P] NNextDB (read: “nextdb”), an open-source, blazingly fast ⚡️, vector search database to power your AI apps 🦾.
https://github.com/nnextdb/nnext/blob/main/FAQs.md Q: How does this differ from Faiss, ScaNN and Annoy?
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NNextDB (read: “nextdb”), an open-source, blazingly fast ⚡️, vector search database to power your AI apps 🦾.
What’s NNext? [Say “Next”] NNextDB is a blazingly fast ⚡️, open-source 📖, (vector) neural search 🔎 engine for building delightful AI Apps 🦾. Github: https://github.com/nnextdb/nnext Like what you see? Please give us a Star 🤩. Applications Vector search is a key concept in modern machine learning systems. It’s the technology behind
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[D] Doing similarity search for images?
These things mostly work by having some vision model, chopping it off somewhere in the middle and using that layer as an "embedding" for your image. Then you look for images that have embeddings which are close together (normally in the sense of Euclidean distance, e.g.)
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[D] What features would you like to see in a vector search database?
Code Link: https://github.com/nnextdb/nnext
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Ask HN: What Are You Working On? (August 2022)
NNextDB - a blazing fast, open source, vector search database for building AP applications.
https://github.com/nnextdb/nnext
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