AI[SYS_ID: AI-DOCUMENT-ASSISTANT]
AI Document Assistant
Full-stack document-grounded RAG chatbot that ingests common business files and streams citation-backed answers with retrieval controls.
01.System Interface & Screenshots
Full-Stack AI Engineer
[SCREENSHOT_01_ACTIVE]
02. Project architecture visualization
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03. The Problem
Teams need grounded answers from internal documents without manually searching through source files.
04. The Solution
Built a Next.js and FastAPI RAG chatbot that processes uploaded documents, stores embeddings in Chroma, and returns citation-backed answers tied to source passages.
05. Key Features
- >PDF, DOCX, TXT, and Markdown ingestion
- >JWT access and refresh authentication
- >Organization-scoped documents and chats
- >Background extraction, chunking, and indexing
- >Embedding generation and storage in Chroma
- >Citation-backed SSE responses
- >Chat history and resumable conversations
- >Document, folder, tag, and date filters
- >Grounding checks and explicit fallback answers
- >Request IDs, rate limits, and upload validation
Backend & API Architecture
-FastAPI service with PostgreSQL persistence for organizations, users, documents, chats, and messages
-Background ingestion pipeline for extraction, chunking, embedding, and vector upsert
-Streaming chat events for tokens, citations, and completion over SSE
-12 backend tests recorded in the repository verification log across auth, tenant isolation, retrieval, grounding, uploads, and rate limits
AI & Automation Workflows
-History-aware retrieval query construction
-OpenAI-compatible embeddings and optional chat generation
-Grounded answer generation from Chroma matches
-Traceable citations with source document, page, snippet, and score
08. Engineering Challenges
Keeping answers grounded in source material
Added retrieval filters and explicit grounding checks before response generation.
Making source traces easy to verify
Returned citation-backed snippets with the answer payload.
[SYSTEM_SPECIFICATIONS]
ROLE:
Full-Stack AI Engineer
CATEGORY:
AI
TECHNOLOGY STACK:
Next.jsFastAPIPostgreSQLChromaOpenAIDocker
BUSINESS IMPACT:
Creates a reusable document assistant that responds with traceable, source-backed answers.