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* docs(i18n): translate batch 1 * docs(i18n): translate batch 2 * docs(i18n): translate batch 3 (20 files) - openapi/: app, share - faq/: all 8 files - use-cases/: index, external-integration (5 files), app-cases (4 files) Translated using North American style with natural, concise language. Preserved MDX syntax, code blocks, images, and component imports. * docs(i18n): translate protocol docs * docs(i18n): translate introduction docs (part 1) * docs(i18n): translate use-cases docs * docs(i18n): translate introduction docs (part 2 - batch 1) * docs(i18n): translate final 9 files * fix(i18n): fix YAML and MDX syntax errors in translated files - Add quotes to description with colon in submit_application_template.en.mdx - Remove duplicate Chinese content in translate-subtitle-using-gpt.en.mdx - Fix unclosed details tag issue * docs(i18n): translate all meta.json navigation files * fix(i18n): translate Chinese separators in meta.en.json files * translate * translate * i18n --------- Co-authored-by: archer <archer@archerdeMac-mini.local> Co-authored-by: archer <545436317@qq.com>
74 lines
2.9 KiB
Plaintext
74 lines
2.9 KiB
Plaintext
---
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title: Configuration File Guide
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description: FastGPT configuration parameters explained
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---
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Since environment variables aren't ideal for complex configurations, newer versions of FastGPT use ConfigMap-style mounted configuration files. You can find the default config at `projects/app/data/config.json`. See the [Docker Compose deployment guide](/docs/introduction/development/docker/) for how to mount the config file.
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**In development**, copy the example config `config.json` to `config.local.json` for it to take effect.
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The example below includes system parameters and model configurations:
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## Config File Example (v4.8.20+)
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> Starting from v4.8.20, models are configured through the UI.
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```json
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{
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"feConfigs": {
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"lafEnv": "https://laf.dev" // Laf environment. Use https://laf.run (Hangzhou Alibaba Cloud) or your private Laf instance. Laf OpenAPI requires the latest version of Laf.
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},
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"systemEnv": {
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"vectorMaxProcess": 15, // Vector processing thread count
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"qaMaxProcess": 15, // Q&A splitting thread count
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"vlmMaxProcess": 15, // Vision-language model max processing threads
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"tokenWorkers": 50, // Token calculation worker count — keeps memory occupied, don't set too high
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"hnswEfSearch": 100, // Vector search parameter (PG and OB only). Higher = more accurate but slower. 100 gives 99%+ accuracy.
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"customPdfParse": {
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// Added in v4.9.0
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"url": "", // Custom PDF parsing service URL
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"key": "", // Custom PDF parsing service key
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"doc2xKey": "", // Doc2x service key
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"price": 0 // PDF parsing service price
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}
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}
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}
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```
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## Custom PDF Parsing Configuration
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Custom PDF parsing takes priority over Doc2x. If you're using Doc2x, don't configure a custom PDF service.
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### Using Sealos PDF Parsing Service
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#### 1. Get a Sealos AI Proxy API Key
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[Open Sealos PDF Parser](https://hzh.sealos.run/?uid=fnWRt09fZP&openapp=system-aiproxy) and apply for an API key.
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#### 2. Update FastGPT Configuration
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Set `systemEnv.customPdfParse.url` to `https://aiproxy.hzh.sealos.run/v1/parse/pdf?model=parse-pdf`
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Set `systemEnv.customPdfParse.key` to the API key from Sealos AI Proxy.
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### Using Doc2x for PDF Parsing
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`Doc2x` is a professional PDF parsing service.
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#### 1. Sign Up for Doc2x
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[Open Doc2x website](https://doc2x.noedgeai.com?inviteCode=9EACN2) and apply for an API key.
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#### 2. Update FastGPT Configuration
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Community Edition users: add `systemEnv.customPdfParse.doc2xKey` to your `config.json` with the API key, then restart the service.
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Commercial Edition users: fill in the Doc2x service key in the Admin dashboard following the form instructions.
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#### 3. Start Using It
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When importing data to your knowledge base or configuring file uploads in your app, check `Enhanced PDF Parsing`. PDFs will then be parsed using the Doc2x service.
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### Using Marker for PDF Parsing
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[View the Marker integration tutorial](/docs/introduction/development/custom-models/marker)
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