TileDB-Vector-Search
mentat
| TileDB-Vector-Search | mentat | |
|---|---|---|
| 3 | 4 | |
| 46 | 2,328 | |
| - | 5.4% | |
| 9.6 | 9.7 | |
| 3 days ago | 17 days 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
-
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)
-
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/
-
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:
mentat
-
Benchmarking GPT-4 Turbo – A Cautionary Tale
Hey Paul, I'm a Mentat author.
> I also notice that the instructions prompt that mentat uses seems to be inspired by the aider benchmark? Glad to see others adopting similar benchmarking approaches.
We were inspired by you to use Exercism as a benchmark, thank you! We will add attribution for that. We switched our original instruction prompts for that benchmark to be similar to Aiders to allow for fair comparison.
> After looking around a bit, there seems to be a bunch of aider code in your repo. Some attribution would be appreciated.
We have an unused implementation of your output response format (https://github.com/AbanteAI/mentat/blob/main/mentat/parsers/...), but I don't know what else you are seeing? We implemented that to compare with our response formats and didn't find much difference in performance.
-
Ask HN: Who is hiring? (August 2023)
Abante AI | Full-time | Senior Software Engineer | Remote or Hybrid SF Bay Area
Abante AI is a new startup building Mentat, an open source, GPT-4 powered coding assistant. Mentat runs on the command line, gathering project context and coordinating edits across multiple files: https://github.com/biobootloader/mentat
- work with a small, talented team on an ambitious project
- open source: share what you build
- apply research to make a real product
- competitive pay + early equity
Contact me: [email protected]
- Mentat – AI tool that assists with any coding task, right from command line
What are some alternatives?
tiny-dream - Tiny Dream - An embedded, Header Only, Stable Diffusion C++ implementation
nl-wallet - NL Public Reference Wallet
noria - Fast web applications through dynamic, partially-stateful dataflow
autodistill - Images to inference with no labeling (use foundation models to train supervised models).
reframe - LeapTable 🦘- The fastest way to build, deploy, and manage LLM-powered agents on tabular data (dataframes, SQL tables and Spreadsheets). [Moved to: https://github.com/peterwnjenga/leaptable]
supervision - We write your reusable computer vision tools. 💜
paip-lisp - Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
awesome-ai-safety - 📚 A curated list of papers & technical articles on AI Quality & Safety
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
LambdaLite - A functional, relational database in about 250 lines of Common Lisp