ETL Framework for Vector Databases (Open Source)

Hacker News

We've open-sourced our ETL framework for Vector Data processing. The VectorETL framework allows Data & AI engineers seamlessly process data from multiple data sources (S3, MySQL, Postgres, Salesforce) to ALL MAJOR vector databases (Pinecone, Weaviate, Qdrant, Milvus etc.) With our new v1.7 upgrade, engineers can now quickly import VectorETL into your python application (RAG, Vector Search or agent) and have VectorETL speed up your data processing so you can focus on building your AI Logic. We'd love to get your feedback!

Visit product View on Hacker NewsSep 18, 2024

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Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

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BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

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