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Knowledge Base RAG Streaming

AI RAG Knowledge Base Chat API

Build private document knowledge bases and answer with citations

What can this API do?

Private knowledge bases from five document formats

Upload PDF, TXT, Markdown, HTML, and DOCX files for product guides, policies, support content, and internal documentation.

Evidence-based answers with citations

Generate answers from the uploaded content and return the supporting document passages for review and display.

Knowledge bases for each business context

Separate content by product, project, customer, or tenant while using one consistent API contract.

OpenAI-compatible JSON and real-time SSE

Use familiar chat completion responses for regular requests or stream answer text as it is generated.

Client-controlled multi-turn context

Send the complete conversation history your application wants the answer to consider on every request.

Replace and delete documents

Refresh a same-name document safely or remove a document when its content is no longer needed.

AI RAG Knowledge Base Chat API
Annual plan
$199
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API Document

HTTP Protocol:HTTPS

HTTP Method:POST

HTTP Endpoint:https://api.gugudata.io/ai/knowledge-bases/{knowledge_base_id}/chat/completions

Response Type:application/json; charset=utf-8

DEMO Endpoint:https://api.gugudata.io/ai/knowledge-bases/default/chat/completions/demo

Live Demo:Try Interactive Demo

Postman Collection:Run in Postman

API Request Parameters

NameTypeIs RequiredDefault ValueRemark
knowledge_base_idstringtruedefault Knowledge base identifier in the URL path.
appkeystringtrueYOUR_APPKEY API key used to authenticate the request.
modelstringfalsegugudata-knowledge-chat OpenAI Chat Completions compatible model name.
messagesarray<object>true[{"role":"user","content":"What does the documentation say?"}] Complete client-managed conversation context with 1 to 20 system, user, or assistant messages.
thread_idstringfalse Optional request correlation identifier; it does not restore server-side history.
tenant_idstringfalsedefault Customer-defined knowledge base grouping; defaults to default.
streambooleanfalsefalse Return real-time Server-Sent Events when true.
top_kintegerfalse6 Number of retrieved source passages from 1 to 12.

Upload Knowledge Base Documents

Upload documents and build a private knowledge base.

HTTP Endpoint:POST https://api.gugudata.io/ai/knowledge-bases/{knowledge_base_id}/documents

NameTypeIs RequiredRemark
knowledge_base_idstringtrue Knowledge base identifier; default may be used.
appkeystringtrue API key used to authenticate the request.
filesarray<file>true PDF, TXT, Markdown, HTML, or DOCX documents; up to 5 files and 20 MB per file.
tenant_idstringfalse Customer-defined business grouping; defaults to default.
metadataobjectfalse Customer-defined metadata as a JSON object up to 8 KiB.
replace_existingbooleanfalse Replace an existing document with the same name when true.

Delete Knowledge Base Document

Delete one document and its searchable content from a private knowledge base.

HTTP Endpoint:DELETE https://api.gugudata.io/ai/knowledge-bases/{knowledge_base_id}/documents/{document_id}

NameTypeIs RequiredRemark
knowledge_base_idstringtrue Knowledge base identifier.
document_idstringtrue Document identifier returned by the upload operation.
appkeystringtrue API key used to authenticate the request.
tenant_idstringfalse Customer-defined knowledge base grouping; defaults to default.

API Response Parameters

NameTypeRemark
idstring Chat completion response identifier.
message_idstring Identifier for the generated answer.
objectstring OpenAI-compatible response object type.
thread_idstring Request correlation identifier returned to the client.
choices[0].message.contentstring Answer generated from uploaded documents.
sourcesarray<object> Document passages cited by the answer.
usageobject Usage summary for the request.

API Response Status Codes

Status CodeExplanation of Status CodeRemarks
200Request processed successfully.Some endpoints expose a separate application-level status field in the response body, such as `dataStatus.statusCode`.
400Invalid request parameters or request format.Check required fields, data types, and request body format.
401Missing or unknown application key.Provide a valid `appkey` with the request.
403The application key is recognized but access is not allowed.The key may be expired, inactive, or not permitted for the requested API.
429Request rate or trial usage limit exceeded.Reduce concurrency or retry after the limit window resets.
500Internal service error.Retry later or contact support if the error persists.
503Upstream service unavailable.Retry later; the requested upstream dependency is temporarily unavailable.

Remote MCP

AI client access

Use this API through GuGuData Remote MCP

Connect your AI client once, authorize in the browser, and the client can use the GuGuData API tools available to your account. You do not need to paste an appkey into the MCP client.

Endpoint https://mcp.gugudata.io/mcp
Open MCP Guide
Generic MCP configuration
{
  "mcpServers": {
    "gugudata": {
      "url": "https://mcp.gugudata.io/mcp",
      "transportType": "streamable-http"
    }
  }
}

Code Snippets