From f8487c1e8c56065ff35f588acbd6fa106388724d Mon Sep 17 00:00:00 2001 From: Anush008 Date: Fri, 20 Dec 2024 03:11:04 +0530 Subject: [PATCH] docs: Vectorize integration Signed-off-by: Anush008 --- .../content/documentation/platforms/_index.md | 1 + .../documentation/platforms/vectorize.md | 45 ++++++++++++++++++ .../vectorize/vectorize-collection.png | Bin 0 -> 511766 bytes .../vectorize/vectorize-connection.png | Bin 0 -> 339647 bytes .../vectorize/vectorize-embeddings.png | Bin 0 -> 667504 bytes .../platforms/vectorize/vectorize-sources.png | Bin 0 -> 637842 bytes 6 files changed, 46 insertions(+) create mode 100644 qdrant-landing/content/documentation/platforms/vectorize.md create mode 100644 qdrant-landing/static/documentation/platforms/vectorize/vectorize-collection.png create mode 100644 qdrant-landing/static/documentation/platforms/vectorize/vectorize-connection.png create mode 100644 qdrant-landing/static/documentation/platforms/vectorize/vectorize-embeddings.png create mode 100644 qdrant-landing/static/documentation/platforms/vectorize/vectorize-sources.png diff --git a/qdrant-landing/content/documentation/platforms/_index.md b/qdrant-landing/content/documentation/platforms/_index.md index 1725c161b..2979c308c 100644 --- a/qdrant-landing/content/documentation/platforms/_index.md +++ b/qdrant-landing/content/documentation/platforms/_index.md @@ -19,3 +19,4 @@ partition: build | [Portable.io](/documentation/platforms/portable/) | Cloud platform for developing and deploying ELT transformations. | | [PrivateGPT](/documentation/platforms/privategpt/) | Tool to ask questions about your documents using local LLMs emphasising privacy. | | [Rivet](/documentation/platforms/rivet/) | A visual programming environment for building AI agents with LLMs. | +| [Vectorize](/documentation/platforms/vectorize/) | Platform to automate data extraction, RAG evaluation, deploy RAG pipelines. | diff --git a/qdrant-landing/content/documentation/platforms/vectorize.md b/qdrant-landing/content/documentation/platforms/vectorize.md new file mode 100644 index 000000000..bc698c3e3 --- /dev/null +++ b/qdrant-landing/content/documentation/platforms/vectorize.md @@ -0,0 +1,45 @@ +--- +title: Vectorize +--- + +# Vectorize + +[Vectorize](https://vectorize.io/) is a SaaS platform that automates data extraction from [several sources](https://docs.vectorize.io/integrations/source-connectors) and lets you quickly deploy real-time RAG pipelines for your unstructured data. It also includes evaluation to help figure out the best strategies for the RAG system. + +Vectorize pipelines natively integrate with Qdrant by converting unstructured data into vector embeddings and storing them in a collection. When a pipeline is running, any new change in the source data is immediately processed, keeping the vector index up-to-date. + +## Prerequisites + +1. A Qdrant instance to connect to. You can get a free cloud instance at [cloud.qdrant.io](https://cloud.qdrant.io/). +2. An account at [Vectorize.io](https://vectorize.io) for building those seamless pipelines. + +## Set Up + +- From the Vectorize dashboard, click `Vector Databases` -> `New Vector Database Integration` and select Qdrant. + +- Set up a connection using the hostname and API key of your Qdrant instance. + + + +![Vectorize connection](/documentation/platforms/vectorize/vectorize-connection.png) + +- You can now select this Qdrant instance when setting up a [RAG pipeline](https://docs.vectorize.io/rag-pipelines/creating). Enter the name of the collection to use. It'll be created automatically if it doesn't exist. + +![Vectorize collection](/documentation/platforms/vectorize/vectorize-collection.png) + +- Select an embeddings provider. + +![Vectorize Embeddings](/documentation/platforms/vectorize/vectorize-embeddings.png) + +- Select a source from which to ingest data. + +![Vectorize Sources](/documentation/platforms/vectorize/vectorize-sources.png) + +Your Vectorize pipeline powered by Qdrant should now be up and ready to be scheduled and monitored. + +## Further Reading + +- Vectorize [Documentation](https://docs.vectorize.io) +- Vectorize [Tutorials](https://docs.vectorize.io/tutorials/). diff --git a/qdrant-landing/static/documentation/platforms/vectorize/vectorize-collection.png b/qdrant-landing/static/documentation/platforms/vectorize/vectorize-collection.png new file mode 100644 index 0000000000000000000000000000000000000000..94e85a34c92b38618f9bc7c3a320de7117edfb3e GIT binary patch literal 511766 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