> ## Documentation Index > Fetch the complete documentation index at: https://docs.praxis-ai.com/llms.txt > Use this file to discover all available pages before exploring further. # Lazy-fetch the structured RAG-KAG retrieval segments for a single History record > List endpoints (`/api/user/histories`, `/api/user/favorites`) project out the bulk `ragSearch` array (multi-KB per row) and expose only `hasRagSearch`, `ragSearchCount`, and `ragSearchMode` for the summary line. This endpoint returns the full structured retrieval array on demand, fired by the UI when the user expands the "RAG/KAG Search Results" `
` block. Confidential chunks arrive pre-redacted (≤100 chars + "(rest is confidential)" suffix when the original exceeded the preview cap). ## OpenAPI ````yaml /mdx/api-reference/runtime/runtime-api.json get /api/user/history/{id}/ragSearch openapi: 3.0.0 info: title: Pria Runtime API version: 2.0.1 description: >- Pria API Documentation Praxis's developer platform is a core part of our mission to empower organizations to grow better. Our APIs are designed to enable teams of any shape or size to build robust integrations that help them customize and get the most value out of Pria. All Pria APIs are built using REST conventions and designed to have a predictable URL structure.

They use many standard HTTP features, including methods (POST, GET, PUT, DELETE) and error response codes.

All API calls are made under https://hiimpria.ai/api and all responses return standard JSON. In these docs, you'll find lists of all available endpoints for a given API, along with interactive code blocks for building requests. For walkthroughs of basic usage for these APIs, check out the API guides. servers: - url: https://pria.praxislxp.com description: Pria API Server security: [] tags: - name: Authentication description: User authentication, registration, and password management (/api/auth) - name: OAuth description: OAuth authentication providers - Google, GitHub, SSO (/api/auth/oauth) - name: User description: User profile management and account operations (/api/user) - name: User Institutions description: User institution memberships and switching (/api/user/institution) - name: User Tools description: Available tools for authenticated users (/api/user/tools) - name: Institutions description: Institution settings and configuration (/api/user/institution) - name: Conversation description: AI conversation and Q&A endpoints (/api/ai) - name: Realtime description: Real-time voice AI and WebRTC sessions (/api/ai/rt) - name: Assistant description: AI assistant configuration and management (/api/user/assistant) - name: History description: Conversation history and favorites (/api/user/history) - name: RAG description: >- Document upload, embedding, and retrieval-augmented generation (/api/user/files, /api/user/rag) - name: Setting description: Instance variables and settings management (/api/user/setting) - name: Branding description: Digital twin branding and customization (/api/agent/branding) - name: Agent description: Agent engagement and session management (/api/agent) - name: SDK Launch description: >- SDK launch token signing and verification for secure iframe embedding (/api/auth/sdk-sign, /api/auth/sdk-verify) - name: Testing description: Health checks, diagnostics, and test endpoints (/api/test) - name: Admin Accounts description: Account management for super admins (/api/admin/account) - name: Admin Institutions description: Institution management for admins (/api/admin/institution) - name: Admin Users description: User management for admins (/api/admin/user) - name: Admin Entitlements description: >- User-institution relationships and permissions (/api/admin/userInstitution) - name: Admin Sessions description: Session management for admins (/api/admin/session) - name: Admin Histories description: Conversation history management and analytics (/api/admin/history) - name: Admin Assistants description: AI assistant management for admins (/api/admin/assistant) - name: Admin Questions description: Institution question and prompt management (/api/admin/question) - name: Admin Tools description: Tool configuration management (/api/admin/tool) - name: Admin AI Models description: AI model configuration (/api/admin/aimodel) - name: Admin MCP Servers description: Model Context Protocol server management (/api/admin/mcpserver) - name: Admin Feedbacks description: User feedback management (/api/admin/feedback) - name: Admin Uploads description: Upload management (/api/admin/upload) - name: Admin Charts description: Analytics and visualization chart management (/api/admin/chart) - name: Audio Notes description: Capture and ingest spoken notes into the personal vault - name: Memory description: User-facing memory parameters (personal + shared instance memory). - name: My Data description: >- GDPR controls — personal-scope counts, async ZIP-by-email export, and scoped soft-delete. Every endpoint pins `user = req.user._id` AND `institution: null`; institution-scoped data is governed by the institution's own retention policy and never reached from here. - name: Questions description: >- User-facing read of the onboarding question bank used by the "create a digital twin" wizard. - name: Transcription description: >- One-shot speech-to-text for in-place dictation. Audio blob in, transcript out — no Upload / History / RAG embeddings are persisted. Use `/audio-notes` for anything durable. paths: /api/user/history/{id}/ragSearch: get: tags: - User History summary: >- Lazy-fetch the structured RAG-KAG retrieval segments for a single History record description: > List endpoints (`/api/user/histories`, `/api/user/favorites`) project out the bulk `ragSearch` array (multi-KB per row) and expose only `hasRagSearch`, `ragSearchCount`, and `ragSearchMode` for the summary line. This endpoint returns the full structured retrieval array on demand, fired by the UI when the user expands the "RAG/KAG Search Results" `
` block. Confidential chunks arrive pre-redacted (≤100 chars + "(rest is confidential)" suffix when the original exceeded the preview cap). parameters: - name: id in: path required: true description: History record ID schema: type: string responses: '200': description: ragSearch array (may be empty) content: application/json: schema: type: object properties: success: type: boolean example: true ragSearch: type: array items: type: object properties: uploadId: type: string originalname: type: string chunkIndex: type: integer nullable: true score: type: number format: float length: type: integer description: Original chunkText length (pre-redaction) mode: type: string enum: - RAG - KAG chunkText: type: string confidential: type: boolean '401': description: Authentication required '404': description: History record not found or not owned by the requesting user ````