WeKnora
by @lyingbug
Import documents and perform knowledge retrieval via WeKnora API. Use when uploading files, URLs, or Markdown to a knowledge base, searching knowledge with h...
clawhub install weknoraπ About This Skill
name: weknora description: > Import documents and perform knowledge retrieval via WeKnora API. Use when uploading files, URLs, or Markdown to a knowledge base, searching knowledge with hybrid retrieval (vector + keyword), or querying knowledge details. Triggers: (1) uploading documents to a knowledge base, (2) hybrid search across knowledge bases, (3) listing/querying knowledge base contents. metadata: {"openclaw": {"requires": {"env": ["WEKNORA_API_KEY", "WEKNORA_BASE_URL"]}}}
WeKnora
Knowledge base document import and retrieval through the WeKnora REST API.
Setup
1. Get your API Key from the WeKnora web UI (account settings page) 2. Configure environment variables:
export WEKNORA_BASE_URL="https://your-server.com/api/v1"
export WEKNORA_API_KEY="sk-your-api-key"
> Add the above to ~/.zshrc or ~/.bashrc to persist across sessions.
Credential Check
Verify credentials before any API call. Stop and prompt the user if unset.
if [ -z "$WEKNORA_BASE_URL" ] || [ -z "$WEKNORA_API_KEY" ]; then
echo "Missing WeKnora credentials. Set WEKNORA_BASE_URL and WEKNORA_API_KEY per Setup."
exit 1
fi
API Call Template
All requests go to $WEKNORA_BASE_URL with a shared header set. Define a helper:
wk_api() {
local method="$1" endpoint="$2" body="$3"
curl -s -X "$method" "$WEKNORA_BASE_URL/$endpoint" \
-H "X-API-Key: $WEKNORA_API_KEY" \
-H "Content-Type: application/json" \
-H "X-Request-ID: $(uuidgen 2>/dev/null || date +%s)" \
${body:+-d "$body"}
}
For file uploads use curl -F directly (multipart/form-data).
API Decision Table
|User Intent |Endpoint |Key Params |
|---|---|---|
|List knowledge bases |GET /knowledge-bases |β |
|View KB details |GET /knowledge-bases/:id |β |
|Upload a file |POST /knowledge-bases/:id/knowledge/file |file (form-data), enable_multimodel |
|Import a web page |POST /knowledge-bases/:id/knowledge/url |url, enable_multimodel |
|Write Markdown content |POST /knowledge-bases/:id/knowledge/manual |title, content, tag_id |
|Check upload progress |GET /knowledge/:id |watch parse_status |
|Browse KB contents |GET /knowledge-bases/:id/knowledge |page, page_size, tag_id |
|Edit Markdown knowledge |PUT /knowledge/manual/:id |title, content |
|Delete a knowledge entry |DELETE /knowledge/:id |β |
|Search within a KB |GET /knowledge-bases/:id/hybrid-search |query_text, match_count, thresholds |
|Search across KBs |POST /knowledge-search |query, knowledge_base_ids |
Common Workflows
Upload File and Wait for Parsing
# 1. Find target KB
wk_api GET "knowledge-bases"
-> pick kb_id from data[].id
2. Upload file
curl -s -X POST "$WEKNORA_BASE_URL/knowledge-bases//knowledge/file" \
-H "X-API-Key: $WEKNORA_API_KEY" \
-F 'file=@document.pdf' -F 'enable_multimodel=true'
-> get knowledge_id from data.id
3. Poll until parsed
wk_api GET "knowledge/"
-> repeat until data.parse_status == "completed"
Import URL
wk_api POST "knowledge-bases//knowledge/url" \
'{"url": "https://example.com/article", "enable_multimodel": true}'
-> poll knowledge/:id same as file upload
Write Markdown Knowledge
wk_api POST "knowledge-bases//knowledge/manual" \
'{"title": "Meeting Notes", "content": "# Q1 Review\n\nKey points..."}'
Search Knowledge
# Single-KB hybrid search (vector + keyword)
wk_api GET "knowledge-bases//hybrid-search" \
'{"query_text": "deployment process", "match_count": 5}'Cross-KB semantic search
wk_api POST "knowledge-search" \
'{"query": "deployment process", "knowledge_base_ids": ["kb-1", "kb-2"]}'
Browse and Read KB Contents
# List knowledge entries (paginated)
wk_api GET "knowledge-bases//knowledge?page=1&page_size=20"Get full detail of one entry
wk_api GET "knowledge/"
Core Response Fields
Knowledge Base (GET /knowledge-bases): data[] β id, name, description, type (document | faq), embedding_model_id, knowledge_count, chunk_count, is_processing, created_at.
Knowledge Entry (GET /knowledge/:id): data β id, title, description (auto-generated summary), type (file | url | manual), parse_status, enable_status, file_name, file_type, file_size, source (URL origin), created_at, processed_at, error_message.
Search Result (hybrid-search): data[] β id, content (chunk text), score (relevance 0β1), knowledge_id, knowledge_title, knowledge_filename, chunk_index, chunk_type (text | summary | image), match_type, metadata.
Paginated List (GET .../knowledge): data[] + total, page, page_size.
Enum Values
parse_status: pending β processing β completed | failedenable_status: enabled | disabled (knowledge becomes enabled after successful parsing)type (knowledge): file (uploaded file), url (web import), manual (Markdown)type (knowledge base): document (standard), faq (FAQ pairs)chunk_type: text (regular chunk), summary (auto-generated summary), image (image chunk)Pagination
GET .../knowledge, GET /sessions): use page and page_size query params. Response includes total for calculating pages.match_count results (no pagination; increase match_count for more).Notes
GET /knowledge-bases/:id/hybrid-search uses GET method but requires a JSON request body β pass -d '{...}' with curl.enable_status starts as disabled and auto-switches to enabled once parse_status reaches completed.multipart/form-data, not JSON. Use curl -F 'file=@path'.file_type is auto-detected from the uploaded file (supports pdf, docx, xlsx, pptx, txt, md, csv, html, etc.).score ranges from 0 to 1; higher is more relevant. Adjust vector_threshold (default ~0.5) to filter low-quality matches.parse_status is failed, check error_message field for the failure reason before retrying with POST /knowledge/:id/reparse.Error Handling
All errors return:
{
"success": false,
"error": {
"code": "ERROR_CODE",
"message": "Human-readable description",
"details": "Optional extra info"
}
}
|HTTP Code |Meaning |Suggested Action |
|---|---|---|
|400 |Bad request |Check required fields and param formats |
|401 |Unauthorized |Verify WEKNORA_API_KEY is correct |
|403 |Forbidden |Confirm you have access to this resource |
|404 |Not found |Check resource ID exists |
|413 |Payload too large |Reduce file size or split content |
|500 |Server error |Retry after a short delay |
βοΈ Configuration
1. Get your API Key from the WeKnora web UI (account settings page) 2. Configure environment variables:
export WEKNORA_BASE_URL="https://your-server.com/api/v1"
export WEKNORA_API_KEY="sk-your-api-key"
> Add the above to ~/.zshrc or ~/.bashrc to persist across sessions.
π Tips & Best Practices
GET /knowledge-bases/:id/hybrid-search uses GET method but requires a JSON request body β pass -d '{...}' with curl.enable_status starts as disabled and auto-switches to enabled once parse_status reaches completed.multipart/form-data, not JSON. Use curl -F 'file=@path'.file_type is auto-detected from the uploaded file (supports pdf, docx, xlsx, pptx, txt, md, csv, html, etc.).score ranges from 0 to 1; higher is more relevant. Adjust vector_threshold (default ~0.5) to filter low-quality matches.parse_status is failed, check error_message field for the failure reason before retrying with POST /knowledge/:id/reparse.