Knowledge Base Retrieval and Recall for Complete Vehicle

What the data for this category looks like

Data for complete vehicle research reports comes from public research reports issued by securities firms, official announcements from vehicle manufacturers, and statistical data from industry associations. Securities firm reports are released on a quarterly and monthly basis. Vehicle manufacturer announcements are released in real time alongside model launches and sales updates. Document structure includes summaries, core model parameters, sales statistics, market competition analysis, and visual content such as tables and line charts. Fields include model code, cruising range (unit: km), official suggested retail price (unit: yuan), monthly sales volume (unit: units), securities firm ratings, and more. The length of a single document typically ranges from tens of thousands of characters.

What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall

The long text structure, multi-field parameters, and visual chart features of complete vehicle research reports create multiple constraints for knowledge base retrieval and recall. Long text must be split appropriately to preserve parameter associations, and avoid separating core information such as cruising range and selling price. Multi-field unit specificity requires matching fields and units during retrieval. Irrelevant results will be returned if this matching is not performed. Visual charts contain key parameters. Text within images must be extracted to fully cover the retrieval scope. Real-time updated announcement content requires regular knowledge base refreshes to ensure the timeliness of recall results.

How to Configure Settings

Configuration Item	Recommended Value Range	Rationale
`PARSE_SPLIT_CHUNK_SIZE`	800–1200 characters	Complete vehicle research reports contain long paragraphs of parameter descriptions and sales analysis. Too small a chunk size will split parameter associations. Too large a chunk size will reduce recall accuracy
`PARSE_IMAGE_ENABLE`	Enabled	Research reports include model parameter charts and sales trend charts. Text within images must be extracted to cover the full retrieval scope
`RECALL_TOP_K`	10–15 results	Relevant results for complete vehicle research reports may be scattered across analyses from different securities firms. A sufficient recall volume is needed to cover relevant content
`RERANK_TOP_N`	3–5 results	Final displayed research report results must accurately match user queries. Too many results will increase response latency
`SIMILARITY_THRESHOLD`	0.72–0.80	Descriptions of vehicle parameters follow fixed sentence structures. A threshold that is too low will retrieve irrelevant general industry content. A threshold that is too high will miss precisely matched targeted research reports
`UPLOAD_FILE_MAX_SIZE`	200 MB	A single complete vehicle research report may include multiple pages of charts and long text. Larger file upload support is required

The parameter values provided on this page are common recommended 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 on your own samples before finalizing settings.

Three Common Configuration Mistakes

Symptom: Text from model parameter charts is missing in the parsed knowledge base. Questions based on research report chart content cannot be answered. Cause: The PARSE_IMAGE_ENABLE configuration is not enabled, and the image text extraction function is not activated.
Symptom: After enabling QUERY_OPTIMIZE and RERANK_TOP_N, the interface response time exceeds 30 seconds. Cause: The RECALL_TOP_K value is not adjusted. An excessive number of recalled results increases subsequent reranking computation load, or a lightweight reranking model is not configured.
Symptom: Research report titles and content uploaded via external interfaces fail to associate. Retrieval cannot match title keywords. Cause: The title and content fields are not passed per interface specifications, or the INDEX_TITLE configuration for including titles in the full-text index is not enabled.

How to Verify Correct Configuration

Upload a single complete vehicle research report that includes charts. Check if parsed text blocks include parameter text from the charts, to confirm the PARSE_IMAGE_ENABLE configuration is active.
Initiate a retrieval query for specific model parameters. Check the response time of returned results. Adjust RECALL_TOP_K and RERANK_TOP_N values based on business requirements to meet expected response times.
Call the external upload interface, pass test research report titles and content. Enter title keywords during retrieval to confirm if the corresponding document is included in results, verifying the INDEX_TITLE configuration is set correctly.
View the knowledge base document list. Confirm duplicate research report documents have been automatically removed, verifying the DUPLICATE_REMOVE configuration is active.

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.