From e89e830c555e594f8a5a5c2d50dfb6c38ea6ffcc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=88=98=20=E6=96=B9=E7=91=9E?= <fangrui.liu@outlook.com>
Date: Mon, 13 Nov 2023 15:22:42 +0800
Subject: [PATCH] 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