roadmap
vectordb
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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.
roadmap
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Embeddings: What they are and why they matter
In case anyone is interested, Heroku finally released pgvector support for Postgres yesterday: https://github.com/heroku/roadmap/issues/156
Pgvector is an extremely excellent way to experiment with embeddings in a lightweight way, without adding a bunch of extra infrastructure dependencies.
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11 Years of Hosting a SaaS
(I work at Heroku) Do you have more details on what sucks? Anything we're not already tracking to fix in our public roadmap? https://github.com/heroku/roadmap/issues
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Is there any updates as to when Heroku will support IPv6?
"GitHub - heroku/roadmap: This is the public roadmap for Salesforce Heroku services." https://github.com/heroku/roadmap
- Introducing Our New Low-Cost Plans [Heroku]
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Heroku - If I have a paid dyno can I keep my free ones? (using paid for production, using free for dev and staging)
You can upvote here to try get a version of free back - https://github.com/heroku/roadmap/issues/51
- Let’s try and make free come back
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Heroku Free Tier
I proposed this -> https://github.com/heroku/roadmap/issues/51 on the Heroku roadmap - hopefully to bring back some sort of free trial environment. Please take a look an upvote if you agree:
- Heroku make their development roadmap public on GitHub
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Heroku's Next Chapter
The public roadmap is a good idea but highlights how stale the product has become. https://github.com/heroku/roadmap/issues Only now researching adding Cloud Native Build Packs and HTTP2.
This will reaffirm for many the sense that Heroku is being dismantled from within. Feature sunsetting and removal of a free on-ramp doesn't help.
If you're looking for a production alternative to Heroku checkout Northflank.
https://northflank.com
vectordb
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VectorDB: Vector Database Built by Kagi Search
We needed a low latency, on premise solution that we can run on edge nodes (so lightweight) with sane defaults that anyone in the team can whim in a sec.
Result is this and we constantly benchmark performance of different embeddings to ensure best defaults.
[1] https://github.com/kagisearch/vectordb#embeddings-performanc...
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Embeddings: What they are and why they matter
If you are looking for lightweight, low- latency, fully local, end-to-end solution (chunking, embedding, storage and vector search), try vectordb [1]
Just spent a day updating it with latest benchmarks for text embedding models.
[1] https://github.com/kagisearch/vectordb
What are some alternatives?
cgm-remote-monitor - nightscout web monitor
langroid - Harness LLMs with Multi-Agent Programming
piku - The tiniest PaaS you've ever seen. Piku allows you to do git push deployments to your own servers.
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
flyctl - Command line tools for fly.io services
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications
telekinesis - Control Objects and Functions Remotely
create-t3-app - The best way to start a full-stack, typesafe Next.js app
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
superfly-flyctl
supabase - The open source Firebase alternative.