Context Data (Techstars ‘24)
@1ContextData
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Build Data infrastructure for your Generative AI apps in minutes
Chicago, IL
Joined October 2023
Check out our tutorial article on building cross platform ETL using @1ContextData.
Jide Ogunjobi shows how easy and quick it is to build cross platform ETL and pipelines from a single query instance using @pinecone . . #developerlove #community.
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Ready to see how we’re redefining data infrastructure for your enterprise generative AI application? . Check out our latest teaser video to see how Context Data makes it easier than ever to optimize and unify your data. Discover seamless integrations, advanced data management,
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𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐌𝐚𝐧𝐚𝐠𝐞𝐝 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞 𝐈𝐧𝐝𝐞𝐱𝐞𝐬 𝐛𝐲 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 𝐃𝐚𝐭𝐚. In order to make end-to-end vector data processing and storage as seamless as possible, we're launching managed indexes where our customers give Context Data permission to create
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🌟 Introducing our no-code @UnstructuredIO integration . If you're using the @UnstructuredIO API to extract data from your files, you can use our very simple no-code integration to process and write the extracted data/embeddings to multiple vector databases and stores.
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🌟VectorETL v1.7 just dropped with a massive update 🌟. You can now import and integrate VectorETL into your python application workflow (RAG, Vector Search or otherwise) and process your vector data to all major Vector databases much faster!. #generativeai #ai #vectordatabase
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Check out our VectorETL recipe in the @weaviate_io repository ✨.
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 (@LangChainAI): Build a multi-language RAG by multiple PDFs
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RT @ecardenas300: I'm so excited to share 6 new recipes to the @weaviate_io cookbook 👩🍳. 1. DSPy (@stanfordnlp): Construct a DSPy agent th….
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RT @ecardenas300: Thank you to @jide_o1 for the recipe!. Context Data is a modular no-code Python framework to embed and ingest data into W….
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If you haven't tested it out yet, you can download it @
github.com
Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications - ContextData/VectorETL
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It's been just over 2 weeks since we launched our open source VectorETL and we already have over 2000 downloads and averaging 500 downloads per week. 🌟 . Excited for small wins and working hard to make this much bigger in the coming weeks!. Watch out for new updates this week!
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Check out the open source framework here -->
github.com
Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications - ContextData/VectorETL
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We're making data processing and loading for vector databases SUPER EASY ✨ . With our new open source VectorETL framework, all you need is a simple YAML (like this image) and you can:.- extract data from multiple sources (e.g. Postgres, MySQL, Salesforce, S3).- embed the data
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Introducing #VectorETL – a modular no-code ETL framework for vector databases. 🌟 . Transform diverse data sources into embeddings effortlessly and write the results to any major vector using just a YAML config file!. Try it out: Documentation:
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Introducing #VectorETL – a modular no-code ETL framework for vector databases. 🌟. Transform diverse data sources into embeddings effortlessly and write the results to any major vector using just a YAML config file!. See details in comments. #AI #ETL #VectorSearch
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𝐇𝐨𝐰 𝐰𝐞'𝐫𝐞 𝐭𝐚𝐜𝐤𝐥𝐢𝐧𝐠 𝐚 𝐦𝐚𝐣𝐨𝐫 𝐩𝐚𝐢𝐧 𝐩𝐨𝐢𝐧𝐭 𝐢𝐧 𝐑𝐀𝐆 𝐬𝐲𝐬𝐭𝐞𝐦𝐬: 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐕𝐞𝐫𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧. We're proud to announce an upgrade to the Context Data Query Studio – a maker-checker feature where you can add an evaluation model as a 2nd
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