StackOverflow
Kapa provides an integration to pull answered questions from StackOverflow. This allows you to incorporate high-quality community solutions and technical discussions into your AI assistant's knowledge base.
Prerequisites
- Basic familiarity with SQL queries
- Access to Stack Exchange Data Explorer
- Knowledge of relevant tags for your content
Data ingested
When you import StackOverflow data into Kapa, the following information is ingested:
- Question URLs
- Question titles and body content
- Answer content
- Creation dates for questions and answers
- Post IDs and metadata
Setup
To add StackOverflow data to Kapa:
- Query for the data you want using the Stack Exchange Data Explorer
- Export the data to a CSV file
- Upload the CSV file using the File Upload data source
Step 1: Query StackOverflow data
-
Navigate to Stack Exchange Data Explorer
-
Copy and paste the following SQL query into the input area:
SELECT
q.Id AS [Question Id],
q.Title AS [Question Title],
q.Body AS [Question Body],
q.CreationDate AS [Question Date],
a.Id AS [Answer Id],
a.Body AS [Answer Body],
a.CreationDate AS [Answer Date]
FROM
Posts q
JOIN
Posts a ON q.Id = a.ParentId
WHERE
q.PostTypeId = 1 -- Question
AND
a.PostTypeId = 2 -- Answer
AND
q.Tags LIKE '%<my-tag>%'
ORDER BY
q.CreationDate DESC; -
Modify the
q.Tags LIKE '%<my-tag>%'
portion to filter by your desired tags (e.g., replacemy-tag
withnext.js
) -
Add additional filters if needed:
-
For a specific date range, add:
AND q.CreationDate BETWEEN 'YYYY-MM-DD' AND 'YYYY-MM-DD'
-
For a specific user, add:
AND q.OwnerUserId = USER_ID
-
-
Click "Run Query"
The SELECT
clause and the conditions q.PostTypeId = 1
and a.PostTypeId = 2
must remain unchanged. This ensures proper data structure.
Step 2: Export data
- After the query completes, click on the "Download CSV" button
- Save the file to your local machine
Step 3: Upload to the Kapa platform
- Go to the Sources tab in the Kapa platform
- Click Add new source
- Enter a name for your source
- Select File Upload as the source type
- Upload the downloaded CSV file
- Click Save to begin the ingestion process
Configuration options
The following configuration options are available through SQL query modifications:
Option | SQL Modification | Purpose |
---|---|---|
Tags | q.Tags LIKE '%<tag-name>%' | Filter questions by specific tags |
Date range | q.CreationDate BETWEEN 'YYYY-MM-DD' AND 'YYYY-MM-DD' | Limit questions to a specific time period |
User filter | q.OwnerUserId = USER_ID | Only include questions from a specific user |
Answer count | q.AnswerCount > X | Filter for questions with multiple answers |
Score threshold | q.Score > X | Only include questions with a minimum score |
Best practices
- Focus on relevant tags: Use specific tags related to your product, library, or technology
- Consider recency: Newer answers are generally more accurate for evolving technologies
- Filter for quality: Consider adding score thresholds to focus on well-received content
- Balance quantity and quality: Start with a moderate dataset (500-1000 Q&A pairs) and refine from there
- Update periodically: Create a process to regularly update your StackOverflow data to capture new solutions
Troubleshooting
- Query timeout errors: Simplify your query or add more specific filters
- CSV import issues: Ensure your CSV structure matches the expected format
- Missing content: Check that your query is correctly joining questions with their answers
- Formatting problems: StackOverflow uses HTML formatting which may need cleanup