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Source channel @githubtrending · Post #15350 · Dec 21

#rust#ai#change_data_capture#context_engineering#data#data_engineering#data_indexing#data_infrastructure#data_processing#etl#hacktoberfest#help_wanted#indexing#knowledge_graph#llm#pipeline#python#rag#real_time#rust#semantic_search **CocoIndex** is a fast, open-source Python tool (Rust core) for transforming data into AI formats like vector indexes or knowledge graphs. Define simple data flows in ~100 lines of code using plug-and-play blocks for sources, embeddings, and targets—install via `pip install cocoindex`, add Postgres, and run. It auto-syncs fresh data with minimal recompute on changes, tracking lineage. **You save time building scalable RAG/semantic search pipelines effortlessly, avoiding complex ETL and stale data issues for production-ready AI apps.** https://github.com/cocoindex-io/cocoindex

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djangoproject

@djangoproject · Post #306 · 04/25/2017, 09:49 AM

http://aiohttp.readthedocs.io/en/stable/deployment.html There are several options for #aiohttp server deployment: Standalone server Running a pool of backend servers behind of #nginx, #HAProxy or other reverse proxy server Using #gunicorn behind of reverse proxy