pdf-autofillr 1.1.1

PDF form-filling ecosystem: chatbot, doc-upload, mapper and RAG — install any combination

pdf-autofillr

PDF form-filling ecosystem — chatbot, doc-upload, mapper, and RAG — install any combination.

Install

# Full stack (everything)
pip install pdf-autofillr[all]

# Chatbot + mapper (conversational form filling)
pip install pdf-autofillr[chatbot]

# Doc upload + mapper (extract from document → fill PDF)
pip install pdf-autofillr[doc-upload]

# Chatbot + mapper + RAG (self-learning predictions)
pip install pdf-autofillr[chatbot,rag]

# Doc upload + mapper + RAG
pip install pdf-autofillr[doc-upload,rag]

# Chatbot + doc_upload + mapper (both input methods)
pip install pdf-autofillr[chatbot,doc-upload]

# Individual modules standalone
pip install pdf-autofillr-chatbot
pip install pdf-autofillr-doc-upload
pip install pdf-autofillr-mapper
pip install pdf-autofillr-rag

After install

# Write .env.example, configs/, data/ for your installed combination:
pdf-autofillr setup

# Check that everything is configured correctly:
pdf-autofillr status

Configure

cp .env.example .env
# Edit .env:
#   Set your API key  → OPENAI_API_KEY=sk-...
#   Set your PDF path → chatbot_PDF_PATH=./data/input/blank_form.pdf

Drop your blank (empty) PDF form into data/input/blank_form.pdf.

Start

pdf-autofillr chatbot       # start chatbot server (port 8001)
pdf-autofillr doc-upload    # start doc_upload server (port 8001)
pdf-autofillr mapper        # start mapper server (port 8000)
pdf-autofillr rag           # start RAG server (port 8000)

How the modules connect

User types → CHATBOT ──→ collects fields ──→ MAPPER ──→ fills blank_form.pdf
                                                ↕
User uploads doc → DOC_UPLOAD → extracts fields → MAPPER → fills blank_form.pdf
                                                ↕
                                             RAG ← learns from each run, predicts next time

• chatbot → mapper: MAPPER_API_URL empty = inprocess (default). Set URL = HTTP server.
• doc_upload → mapper: same pattern, MAPPER_API_URL.
• mapper → rag: set RAG_ENABLED=true in .env + [rag] enabled=true in mapper_config.ini.

Cloud storage

Add cloud extras when needed:

pip install "pdf-autofillr[chatbot,s3]"    # chatbot with S3 storage
pip install "pdf-autofillr[all,gcp]"       # full stack with GCP
pip install "pdf-autofillr[all,azure]"     # full stack with Azure

RAG vector store

pip install "pdf-autofillr[chatbot,rag,rag-pinecone]"  # Pinecone
pip install "pdf-autofillr[chatbot,rag,rag-chroma]"    # ChromaDB

Module docs

• chatbot/README.md
• doc_upload/README.md
• mapper/README.md
• rag/README.md