Knowledge Base Retrieval and Recall for Aerospace Equipment Financial Report Analysis

Data for aerospace equipment financial reports comes primarily from public regular reports of listed aerospace enterprises, public industry data

What the Data for This Category Looks Like

Data for aerospace equipment financial reports comes primarily from public regular reports of listed aerospace enterprises, public industry data released by national defense science, technology and industry authorities and industry associations, and special announcements for aerospace missions. Update cycles fall into three categories: annual reports, quarterly reports, and temporary mission announcements. Document structures are split by business segments, including sub-modules such as launch vehicles, satellite manufacturing, and ground equipment. Documents include fields like revenue amount, R&D investment, and core equipment parameters. Most field units use professional standards, including ten thousand yuan, units, tons, and low Earth orbit carrying capacity (kilograms/tons). Single financial report documents are typically lengthy, containing multiple sections of professional technical descriptions and financial details.

Constraints Imposed on Knowledge Base Retrieval and Recall

Multi-source, scattered data for aerospace equipment financial reports requires the retrieval link to support cross-source metadata matching. This prevents mixing in general industry data from non-target enterprises. Complex business segment structures require retrieval to accurately match segment-specific terminology. Generalized keyword matching cannot be relied upon. The presence of professional fields and specific units requires recalled results to include correct units and parameter attributes. This avoids invalid content with mismatched units. Documents with varying update frequencies require the retrieval link to support filtering by release time. This ensures returned financial report data comes from the latest cycle.

Configuration Settings

Configuration ItemRecommended ValueRationale
chunk_size800–1200 charactersAerospace equipment financial reports contain long sentences with professional parameter descriptions. Overly long segments lose contextual association between business segments. Overly short segments split complete expressions of professional terminology
similarity_threshold0.72–0.85Professional terminology in the aerospace field has high distinctiveness. A threshold that is too low introduces irrelevant general aerospace industry data. A threshold that is too high misses accurately matched segmented financial report entries
recall_top_kTop 8–12 resultsA single aerospace equipment financial report covers multiple business segments. Sufficient recall volume is needed to cover associated information across different segments
rerank_top_nTop 3–5 resultsThe reranking step filters redundant recall results. Core business and financial information for aerospace financial reports is concentrated in a small number of key paragraphs
overlap_ratio15%–20%Professional terminology appears across segments at a high rate. An overlap ratio that is too low causes terminology to be split across different segments, preventing accurate matching
metadata_filterEnable filtering by "financial report type" and "release time"Aerospace equipment financial reports are divided into annual reports, quarterly reports, and temporary announcements. Filtering by time and type avoids recalling outdated or non-target category data

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 case-by-case analysis. It is recommended to test on your own samples before finalizing values.

Three Common Configuration Mistakes

  • Symptom: Knowledge base retrieval returns an insufficient number of results, failing to cover all business segments of the financial report. Cause: The recall_top_k value is set too low, failing to cover associated information across multiple segments.
  • Symptom: Returned content after retrieval does not match the professional parameters specified in the query. For example, a query about low Earth orbit carrying capacity returns R&D investment data. Cause: The metadata_filter for filtering by financial report segment is not enabled, or the chunk_size is set too short, causing professional terminology to be split across different segments.
  • Symptom: Recalled results include general aerospace industry data from non-target enterprises, and do not match the specified equipment enterprise financial report content. Cause: The similarity_threshold is set too low, failing to filter irrelevant entries with low matching accuracy.

How to Verify Correct Configuration

  • Upload a single sample aerospace equipment financial report, view the segmented text blocks, confirm that professional terminology is not overly split.
  • Enter a specified financial report query, verify that the release time of the recalled results matches the target financial report cycle.
  • Adjust the similarity_threshold, compare changes in the matching degree of recalled results, confirm alignment with business requirements.
  • After triggering retrieval, check that the field units of returned results match the query requirements, such as including correct units like "tons" or "ten thousand yuan".

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.