Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Search knowledge from Qianfan Knowledgebase. Use this when you need to retrieve information from user's private knowledge bases on Baidu Qianfan platform.
Search knowledge from Qianfan Knowledgebase. Use this when you need to retrieve information from user's private knowledge bases on Baidu Qianfan platform.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Search and retrieve knowledge from Baidu Qianfan platform knowledge bases. Supports semantic search, fulltext search, hybrid search, and reranking.
The skill executes the Python script located at search.py The script makes a POST request to the Qianfan Knowledgebase Search API The API returns structured search results with chunks, scores, and metadata
envrequireddescriptionBAIDU_API_KEYyesQianfan platform API KeyQIANFAN_KNOWLEDGEBASE_IDSnoKnowledgebase IDs, comma-separated (used if not specified in request)
request body structure paramtyperequireddefaultdescriptionquerystryesSearch query contentknowledgebase_idslist[str]noKnowledgebase ID list (uses env var if not specified)top_kintno6Number of chunks to return, range [1, 40]score_thresholdfloatno0.4Score threshold for filtering, range [0, 1]enable_graphboolnofalseEnable knowledge graphenable_expansionboolnofalseReturn expanded chunksrecallobjnoRecall strategy configuration+recall.typestrnohybridRecall type: fulltext/semantic/hybrid+recall.top_kintno100Recall phase top_k, range [1, 400]+recall.vec_weightfloatno0.75Vector weight when type=hybrid, range [0, 1]rerankobjnoRerank configuration+rerank.enableboolnotrueEnable reranking+rerank.top_nintno20Rerank top_n, range [1, 40] Note: Use flattened parameter names in input (e.g., recall_type, recall_top_k), the script will convert to nested structure automatically.
# Configure knowledgebase IDs via environment variable export BAIDU_API_KEY="your_api_key" export QIANFAN_KNOWLEDGEBASE_IDS="kb_id_1,kb_id_2" python3 skills/qianfan-knowledgebase-search/search.py '{"query":"θ―·δ»η»δΈεεΈε€§ζ¨‘εη₯θ―εΊ"}' # Or specify knowledgebase IDs in request parameters python3 skills/qianfan-knowledgebase-search/search.py '{"query":"ε¦δ½δ½Ώη¨API","knowledgebase_ids":["kb_id_1","kb_id_2"],"top_k":10,"recall_type":"hybrid","rerank_enable":true}'
Response contains the following fields: id: Request unique identifier created_at: Request timestamp total_count: Total number of chunks returned chunks: Chunk list chunk_id: Chunk unique identifier content: Chunk content (supports text/figure/table/graph types) rerank: Rerank score and position recall: Recall score and position meta: Metadata (chunk_type, tokens, word_count, doc_info, etc.) neighbors: Related chunks
The Qianfan Knowledgebase Search skill is fully functional and can be used to retrieve knowledge from private knowledge bases on the Baidu Qianfan platform.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.