🔄 VectorETL
Need to feed data into your vector database? Lightweight ETL framework that connects databases, cloud storage, and files to Pinecone, Qdrant, and Weaviate — with built-in embedding support.
github.com/ContextData/Vecto…
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既存データソースを変更せずに、ベクトル検索を新たに追加したいというようなケースがフィットする気がする。
データをベクトル化するETLパイプライン用軽量フレームワーク「VectorETL」を試す zenn.dev/kun432/scraps/61de6… #zenn
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“VectorETL by Context Data is a flexible and modular Python framework designed to streamline the process of converting diverse data sources into vector embeddings and storing them in various vector databases.”
github.com/ContextData/Vecto…
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Check out our VectorETL recipe in the @weaviate_io repository ✨
cc:@1ContextData
29 Aug 2024
I'm so excited to share 6 new recipes to the @weaviate_io cookbook 👩🍳
1. DSPy (@stanfordnlp): Construct a DSPy agent that designs DSPy agents inspired by the "Automated Design of Agentic Systems" paper.
2. LangChain (@langchain): Build a multi-language RAG by multiple PDFs per tenant with Langchain, OpenAI, and Weaviate.
3. NVIDIA (@NVIDIAAIDev): CAGRA demo with Nvidia’s cuVS
4. Haystack (@Haystack_AI): Learn how to implement query expansion for RAG in Haystack.
5. Composio (@composio): Integrate Composio’s Gmail tool with Weaviate to create an agent that will respond to new messages.
6. Context Data (@1ContextData): Three examples showing you how to ingest data from Google Cloud Storage, Postgres, and S3 into Weaviate.
More on each below. 🥳
github.com/weaviate/recipes
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29 Aug 2024
Check out our VectorETL recipe in the @weaviate_io repository ✨
29 Aug 2024
I'm so excited to share 6 new recipes to the @weaviate_io cookbook 👩🍳
1. DSPy (@stanfordnlp): Construct a DSPy agent that designs DSPy agents inspired by the "Automated Design of Agentic Systems" paper.
2. LangChain (@langchain): Build a multi-language RAG by multiple PDFs per tenant with Langchain, OpenAI, and Weaviate.
3. NVIDIA (@NVIDIAAIDev): CAGRA demo with Nvidia’s cuVS
4. Haystack (@Haystack_AI): Learn how to implement query expansion for RAG in Haystack.
5. Composio (@composio): Integrate Composio’s Gmail tool with Weaviate to create an agent that will respond to new messages.
6. Context Data (@1ContextData): Three examples showing you how to ingest data from Google Cloud Storage, Postgres, and S3 into Weaviate.
More on each below. 🥳
github.com/weaviate/recipes
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