Knowledge Base Retrieval and Recall for Chemical

What the data for this category looks like

Chemical pharmaceutical investment research data comes from public clinical trial databases, national pharmacopeias, pharmaceutical patent literature, pharmaceutical company quarterly financial reports, academic journal papers, and regulatory agency approval announcements. Update rhythms vary significantly. Clinical trial data updates in real time alongside trial enrollment and unblinding progress. Patent literature adds new applications quarterly. Pharmacopeias undergo full revisions every 5 years. Financial reports are released quarterly. Document structures include structured fields such as compound CAS numbers, clinical trial phases, indications, and administration doses (units include mg, ml, IU). A large volume of long text documents also exists, including complete trial protocols, patent claims, and post-marketing safety monitoring reports.

Constraints imposed on knowledge base retrieval and recall by these characteristics

The large number of specialized structured fields requires retrieval to support both semantic vector matching and exact field filtering. This prevents missing associated data for specific compounds or indications. The large volume of long text documents requires segment lengths adapted to the semantic integrity of professional literature. This avoids splitting technical terms into disconnected fragments. The wide variation in data update frequencies requires support for incremental synchronization and recall configuration filtered by update time. This ensures the latest clinical trial or patent data is included in retrieval scope. The high density of specialized terminology requires semantic matching to adapt to domain-specific vocabulary. This avoids matching bias from general-purpose semantic models.

Configuration Settings

Configuration Item	Recommended Value Range	Rationale
`chunk_size`	800–1200 characters	Adapts to the text length of long chemical pharmaceutical patents and clinical trial reports, avoiding splitting of specialized terms
`similarity_threshold`	0.75–0.85	Meets semantic similarity requirements for matching medical specialized terminology, filters low-relevance generic results
`recall_top_k`	Top 10 results	Covers multi-dimensional trial, patent, and literature data, avoiding omission of critical niche field information
`structured_field_filter`	Enable filtering for CAS number and indication fields	Matches exact query requirements for structured data, improving recall precision for specific compounds or indications
`PARSE_FILE_TIMEOUT_SECONDS`	300 seconds	Prevents parsing timeouts when processing long patent documents or bulk clinical trial data
`enable_hybrid_search`	Enabled	Combines vector retrieval and keyword retrieval, adapting to mixed matching scenarios for medical specialized terminology

The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test against one’s own samples before finalizing values.

Three Common Misconfigurations

Phenomenon: After upgrading to version 4.8.12, calling the knowledge base question answering function returns error: 2024-12-* or 404 errors. Cause: The initialization script after version upgrade was not executed correctly, causing the association between the knowledge base index and the application to fail.
Phenomenon: Retrieval results only return 1-2 documents, far fewer than the expected number of relevant documents. Cause: The set similarity_threshold value is too high, filtering some professionally relevant documents with semantic similarity slightly below the threshold.
Phenomenon: After entering a structured field such as a compound CAS number, target documents containing this field cannot be retrieved. Cause: The structured_field_filter configuration was not enabled, and the exact matching logic for structured fields was not activated.

How to Verify Proper Configuration

Upload a complete chemical pharmaceutical patent document, verify that the parsed segment length falls within the 800–1200 character range.
Input a known compound CAS number, verify that retrieval results prioritize documents containing this number.
Execute the initialization script after upgrading the version, check that the knowledge base index status in the interface is shown as normal.
Adjust similarity_threshold to 0.8, verify that low-similarity irrelevant results are automatically filtered.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.