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Free knowledge base pod information update (#12813)
<!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> We updated MyScale free knowledge base, where you can try your RAG with 36 million paragraphs from wikipedia and 2 million paragraphs from ArXiv. The pod has two tables ```sql CREATE TABLE default.ChatArXiv ( `abstract` String, `id` String, `vector` Array(Float32), `metadata` Object('JSON'), `pubdate` DateTime, `title` String, `categories` Array(String), `authors` Array(String), `comment` String, `primary_category` String, VECTOR INDEX vec_idx vector TYPE MSTG('metric_type=Cosine'), CONSTRAINT vec_len CHECK length(vector) = 768) ENGINE = ReplacingMergeTree ORDER BY id; CREATE TABLE wiki.Wikipedia ( `id` String, `title` String, `text` String, `url` String, `wiki_id` UInt64, `views` Float32, `paragraph_id` UInt64, `langs` UInt32, `emb` Array(Float32), VECTOR INDEX emb_idx emb TYPE MSTG('metric_type=Cosine'), CONSTRAINT emb_len CHECK length(emb) = 768) ENGINE = ReplacingMergeTree ORDER BY id; ``` You can connect those two tables using credentials below (just the same to the old one) URL: `msc-4a9e710a.us-east-1.aws.staging.myscale.cloud` Port: `443` Username: `chatdata` Password: `myscale_rocks` It's FREE and you can also use it with ChatData: https://github.com/myscale/ChatData Retrieval-QA-Benchmark: https://github.com/myscale/Retrieval-QA-Benchmark ... and also LangChain! Request for review @baskaryan
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