Deployment and Upgrade for Photovoltaic Investment Research Knowledge Base Construction

Photovoltaic investment research data mainly comes from public industry association reports, technical documents of component manufacturers, power

What the Data for This Category Looks Like

Photovoltaic investment research data mainly comes from public industry association reports, technical documents of component manufacturers, power station operation ledgers, meteorological monitoring data, and public grid dispatching information. Update rhythms vary significantly. Industry reports are updated quarterly or monthly. Power station operation data is synchronized hourly. New component parameter information is updated immediately upon release. Document structures include long-text feasibility study reports, structured ledgers (with fields such as installed capacity, generation hours, component efficiency, with units of MWp, kWh, %), and time-series power generation curve data.

Constraints Imposed on Deployment and Upgrade by These Characteristics

The multi-dimensional characteristics of photovoltaic investment research data impose clear constraints on the deployment and upgrade process. The coexistence of long-text feasibility study reports and massive time-series data requires adapting deployment configurations for large-file parsing and batch indexing. Large differences in update rhythms require designing differentiated trigger rules for incremental updates and full updates during the upgrade phase. The mix of structured and unstructured data requires configuring parsing adaptation rules for multiple document types during deployment. The need for multi-data-source access requires upgrading the system to support docking interfaces for different data formats during the upgrade phase.

Configuration Settings

Configuration ItemRecommended Value RangeRationale
PARSE_FILE_TIMEOUT_SECONDS300–600 secondsIndividual photovoltaic industry feasibility study reports can reach hundreds of MB in size. Parsing times far exceed general scenarios. Extending the timeout threshold avoids indexing build failures.
UPLOAD_FILE_MAX_SIZE1000 MBLarge-scale power station operation log packages and annual industry reports have large file sizes. Default thresholds cannot cover such upload requirements.
chunkSize800–1200 charactersPhotovoltaic investment research data contains a large number of technical terms and long sentences. This range ensures context integrity and avoids truncation of professional logic.
chunkOverlap100–150 charactersSegment overlap preserves professional association information between adjacent paragraphs, avoiding breaks in technical logic across segments.
RECALL_TOP_NTop 10–15 resultsPhotovoltaic investment research requires analysis combining multi-dimensional data. Too many recall results increase model inference load. Too few fail to cover complete reference information.
SIMILARITY_THRESHOLD0.75–0.85Filter non-professional content across industries, focusing on precise matching results in the photovoltaic field.

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • The symptom is indexing tasks getting stuck after deployment. The interface displays an "Index Timeout" prompt, and logs contain the ETIMEDOUT error code. The cause is failure to adjust the PARSE_FILE_TIMEOUT_SECONDS parameter. Parsing time for long photovoltaic documents exceeds the default threshold.
  • The symptom is the interface displaying "Channel Unavailable" after adding a third-party model channel, but the test interface works normally. The cause is failure to configure the PROXY_URL parameter. Some overseas photovoltaic industry report data sources require proxy access, leading to channel verification failures.
  • The symptom is a Docker-deployed service failing to connect to a locally deployed docking project, with the calling interface returning a 403 error. The cause is failure to expose port mapping corresponding to FASTGPT_PORT and configure an internal network access whitelist, restricting access permissions for local services.

How to Verify Proper Configuration

  • Upload a 100 MB photovoltaic industry feasibility study report. Check whether the indexing progress completes within the set timeout threshold and there are no error logs.
  • Call the knowledge base recall interface. Verify that the returned result fields contain photovoltaic professional terms, and the number of recalled results matches the RECALL_TOP_N configuration value.
  • View the container startup logs. Confirm that parameters such as PARSE_FILE_TIMEOUT_SECONDS and UPLOAD_FILE_MAX_SIZE have been loaded correctly, with no configuration conflict prompts.
  • Manually trigger an incremental update task. Verify that newly added power station operation data can be automatically synchronized to the knowledge base and the indexing process completes normally.

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.