Show HN: Neum AI – Open-source large-scale RAG framework

1. NeumAI

   1 2 859 8.7 Python

   Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

   

   Interesting to see that the semantic chunking in the tools library is a wrapper around GPT-4. Asks GPT for the python code and executes it: https://github.com/NeumTry/NeumAI/blob/main/neumai-tools/neu...

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. fast_vector_similarity

   2 8 403 5.0 Rust

   The Fast Vector Similarity Library is designed to provide efficient computation of various similarity measures between vectors.

   

   Got it. I'd encourage you to expose more of that functionality at the level of your application if possible. I think there is a lot of potential in using more than just cosine similarity, especially when there are lots of candidates and you really want to sharpen up the top few recommendations to the best ones. You might find this open-source library I made recently useful for that:

   https://github.com/Dicklesworthstone/fast_vector_similarity

   I've had good results from starting with cosine similarity (using FAISS) and then "enriching" the top results from that with more sophisticated measures of similarity from my library to get the final ranking.

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