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postgresml discussion
postgresml reviews and mentions
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Postgres Learns to RAG: Wikipedia Q&A using Llama 3.1 inside the database
GitHub: https://github.com/postgresml/postgresml
Looking forward to your feedback and any questions about the technical details.
- PostgresML
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[P] pgml-chat: A command-line tool for deploying low-latency knowledge-based chatbots
The Python client SDK is so small, because it's just a wrapper around the Rust client SDK: https://github.com/postgresml/postgresml/tree/master/pgml-sdks/rust/pgml. Currently we also support JS/Typescript SDKs as well, all generated from the same safe and efficient underlying Rust implementation, using some fancy Rust macros.
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Pg_later: Asynchronous Queries for Postgres
I don't think you'd replace a materialized view with pg_later, but it might help you populate or update your materialized view if you are trying to do that asynchronously. pglater.exec() works with DDL too!
I use it a lot for long running queries when doing data science and machine learning work, and a lot of times when executing queries from a jupyter notebook or CLI. That way if my jupyter kernel dies, my query execution continues even if the network or my environment has an issue. I've started using it a bit more with https://github.com/postgresml/postgresml for model training tasks too, since those can be quite long running depending on the situation.
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Replace pinecone.
PostgresML comes with pgvector as a vector database. The cool thing is it can run your models in the same memory space as a database extension. Weโre also working on ggml support for huggingface transformers, but could use some help testing more LLMs for compatibility. https://github.com/postgresml/postgresml/pull/748
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Python SDK for PostgresML with scalable LLM embedding memory and text generation
We've been working on a Python SDK[1] for PostgresML to make it easier for application developers to get the performance and scalability benefits of integrated memory for LLMs, by combining embedding generation, vector recall and LLM tasks from HuggingFace in a single database query.
This work builds on our previous efforts that give a 10x performance improvement from generating the LLM embedding[2] from input text along with tuning vector recall[3] in a single process to avoid excessive network transit.
We'd love your feedback on our roadmap[4] for this extension, if you have other use cases for an ML application database. So far, we've implemented our best practices for scalable vector storage to provide an example reference implementation for interacting with an ML application database based on Postgres.
[1]: https://github.com/postgresml/postgresml/tree/master/pgml-sd...
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[P] Python SDK for PostgresML w/ scalable LLM embedding memory and text generation
We've been working on a Python SDK for PostgresML to make it easier for application developers to get the performance and scalability benefits of integrated memory for LLMs, by combining embedding generation, vector recall and LLM tasks from HuggingFace in a single database query.
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Show HN: We unified LLMs, vector memory, ranking, pruning models in one process
Links:
[1]: https://huggingface.co/spaces/mteb/leaderboard
[2]: https://postgresml.org/blog/generating-llm-embeddings-with-o...
[3]: https://postgresml.org/blog/tuning-vector-recall-while-gener...
[4]: https://postgresml.org/blog/personalize-embedding-vector-sea...
Github: https://github.com/postgresml/postgresml
- Personalize embedding results with application data in your database
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[P] We've unified LLMs w/ vector memory + reranking & pruning models in a single process for better performance
Github: https://github.com/postgresml/postgresml
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A note from our sponsor - CodeRabbit
coderabbit.ai | 25 Mar 2025
Stats
postgresml/postgresml is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of postgresml is Rust.