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### Description
We have a large scale C++ HPC astronomy application and want to use calls to Python actors from within C++. From the codebase it looks like it's possible to call C++ actors from Pytho…
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# Improve Scalability and Efficiency with Graph Optimization and Streaming Support
## Issue Description
The current implementation of Indexify's Python SDK may face challenges with very large gr…
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The combination of Apache Flink and Apache Iceberg provides several advantages. Iceberg’s capabilities, including snapshot isolation for reads and writes, the ability to handle multiple concurrent ope…
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**Is your feature request related to a problem? Please describe.**
I’m facing an issue when deploying large models in Kubernetes, especially when the pod’s ephemeral storage is limited. Triton Infere…
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**Describe the situation**
```
timeplus :) SELECT
ip_prefix, count() AS count
FROM
(
…
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### What:
**Adding features to work with images in the cloud and implementing lazy loading** involve handling image data stored in cloud storage systems efficiently. This means enabling access to i…
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In a recent real scenario using auto scaling. We found that it takes 10 minutes to move 7000 actors at 8 parallelism to another node. In ten minutes the cluster was unavailable.
- We might need a w…
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## 🚀 Feature Request
Large ```index.json``` are slow to load. Currently, I am trying to increase shard size, so stream.py#L473 will be faster (hopefully).
## Motivation
These two steps are ve…
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import json
from pymongo import MongoClient
# Step 1: Read the text file
def read_file(file_path):
with open(file_path, 'r') as file:
content = file.read()
return content
# …
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AFAIK we can encode single or multiple images at once, collect all encodings and then we need to pass the whole encoding dictionary to find dupes.
Would it be possible to add options to save encodi…