DocArray
@docarray
The data structure for multimodal data · Neural Search · Vector Search · Document Store https://github.com/docarray/docarray
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OMG finally 😻 what a merge! It's done, we pressed the release button for DocArray v2 🎉 If you're building a machine learning application that deals with multimodal data, then DocArray is the way to go 😼 github.com/docarray/docar…
We've just released DocArray 0.40. See the release notes here. github.com/docarray/docar…
We've just released DocArray 0.39.1. See the release notes here. github.com/docarray/docar…
🎉@docarray is now an Incubation Stage project! Their dynamic schemas, vectorDBs integration, and seamless framework compatibility are fueling their journey of success. Join us in celebrating their achievements! 🌟 Read more: hubs.la/Q01ZQdBk0
We've just released DocArray v0.37, featuring: 👉 @milvusio integration 👉 Filtering in HnswDocumentIndex 👉 Pre-filtering in InMemoryExactNNIndex 👉 Choosing your own tensor format in DocVec 👉 And more! Read the release notes now: github.com/docarray/docar…
DocArray 0.36 is out! 🥳 New features: 👉 JAX Integration 👉 Redis Integration Plus faster searching with HnswDocumentIndex and multiple bug fixes! github.com/docarray/docar…
We've updated Jina to 3.19 with new features: 👉 Support for all versions of @DocArray 👉 Hubble adapts to the local DocArray version 👉 Support for pulling from private registries using Kubernetes secrets 👉 Rewrote documentation for new DocArray github.com/jina-ai/jina/r…
Finally we have managed to bring all the new benefits introduced with @docarray refactor into github.com/jina-ai/jina. Now you can serve your models and applications with your own types and schemas. Jina adapts to your data instead of forcing you to adapt to Jina expected schema
We've updated Jina to 3.19 with new features: 👉 Support for all versions of @DocArray 👉 Hubble adapts to the local DocArray version 👉 Support for pulling from private registries using Kubernetes secrets 👉 Rewrote documentation for new DocArray github.com/jina-ai/jina/r…
We all love when a perfect couple finds each other, like DocArray and Otter. DocArray brings native multi-modal data structures to Otter, a native multi-modal model trained for in-context and few-shot learning. See how in this article from Jina AI. jina.ai/news/docarray-…
DocArray 0.35.0 is out! 🥳 New features: 👉DocVec now has the same serialization interface as DocList 👉File format validation on URLs 👉New methods to create BaseDoc instances from schemas github.com/docarray/docar…
Love @LangChainAI 🦜⛓️? Love DocArray? Langchain just launched their new integrations hub and DocArray is right there in the mix - twice! The best part: You can even give us a ❤️ integrations.langchain.com/vectorstores
🎉 Excited to introduce DocArrayRetriever in @LangChainAI! Looking to link external data to LLMs? @docarray is your key to: 1⃣ Representing data flexibly 2⃣ Numerous data storage options 3⃣ Smooth integration into Langchain Follow this thread for a step-by-step guide 🧵 1/5
[1] @supabase integration: supabase.com/docs/guides/ai… Tair (@AlibabaGroup) integration: gpt-index.readthedocs.io/en/latest/exam… In-memory stores using @docarray: gpt-index.readthedocs.io/en/latest/exam… gpt-index.readthedocs.io/en/latest/exam…
supabase.com
Learn how to integrate Supabase with LlamaIndex, a data framework for your LLM applications. |...
Learn how to integrate Supabase with LlamaIndex, a data framework for your LLM applications.
This is a big deal. Now @jinaAI_ fully support @docarray v2 and allows to build multi-modal AI API with an experience similar to @FastAPI Here is how it looks like now
We've updated Jina to 3.17, focusing on compatibility with @DocArray v2. 👉Flows and Deployments fully support DocArray v2 👉Support includes HTTP, gRPC, and WebSocket Now you have the capacity and expressivity of DocArray v2 with all the power of Jina. github.com/jina-ai/jina/r…
Thrilled to see @docarray in action within @DeepLearningAI_'s Langchain course, delivered by @AndrewYNg and @hwchase17! DocArrayInMemorySearch really is an excellent foundation for kickstarting your own LLM applications with @LangChainAI
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