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confluence-rag

This is a sample application for RAG (retrieval augmented generation) with Confluence data.

It depends on rye for package management.

Since gist doesn't allow to crete a directory, make sure to create confluence_rag directory and move Python files under it.

mkdir confluence_rag

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annotated-types==0.6.0
anyio==3.7.1
backoff==2.2.1
bcrypt==4.0.1
cachetools==5.3.2
certifi==2023.7.22
charset-normalizer==3.3.1
chroma-hnswlib==0.7.3
chromadb==0.4.15
click==8.1.7

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#include <iostream>
#include <string>
#include <re2/re2.h>
#include <vector>

using namespace std;

void test_fullmatch(){
  string s,t;
  string str("あぶらかたぶら");

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aafigure==0.6
alabaster==0.7.10
Babel==2.4.0
certifi==2017.4.17
chardet==3.0.4
colorama==0.3.9
docutils==0.13.1
idna==2.5
imagesize==0.7.1
Jinja2==2.9.6

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diff --git a/prelims/handler.py b/prelims/handler.py
index d4d416d..014bc7d 100644
--- a/prelims/handler.py
+++ b/prelims/handler.py
@@ -1,16 +1,18 @@
 from .post import Post

 import os
-
+from pathlib import Path

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{
  "title": "Kinesis Freestyle2",
  "rules": [
    {
      "description": "Swap only for Windows",
      "manipulators": [
        {
          "conditions": [
            {
              "type": "device_if",

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# -*- coding: utf-8 -*-
"""
given a word and visualize near words
original source code is https://github.com/nishio/mycorpus/blob/master/vis.py
"""
import word2vec_boostpython as w2v
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
import matplotlib.font_manager

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