Merge pull request #251 from Deodat-Lawson/main

Update Mar 14th

Author: Deodat-Lawson

.env.example

@@ -21,8 +21,18 @@ NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=
 CLERK_SECRET_KEY=
 
 # OpenAI API (get from https://platform.openai.com/)
-
 OPENAI_API_KEY=
+OPENAI_MODEL="gpt-5-mini"
+
+# Anthropic API (optional — enables Claude models, get from https://console.anthropic.com/)
+ANTHROPIC_API_KEY=
+
+# Google AI API (optional — enables Gemini models, get from https://aistudio.google.com/apikey)
+GOOGLE_AI_API_KEY=
+
+# Ollama (optional — enables local models via Ollama, see https://ollama.com/)
+OLLAMA_BASE_URL="http://localhost:11434"
+OLLAMA_MODEL="llama3.1:8b"
 
 # UploadThing (get from https://uploadthing.com/)
 UPLOADTHING_SECRET="your_uploadthing_secret"
@@ -45,3 +55,11 @@ AZURE_DOC_INTELLIGENCE_KEY="your_azure_doc_intelligence_key"
 # Inngest (required for background document processing - https://inngest.com/)
 INNGEST_EVENT_KEY="dev_placeholder"
 INNGEST_SIGNING_KEY="signkey-dev-xxxxx"
+
+# Sidecar (optional - get from https://github.com/pdr-ai/sidecar)
+SIDECAR_URL="your_sidecar_url"
+
+# Neo4j (optional - get from https://neo4j.com/)
+NEO4J_URI="your_neo4j_uri"
+NEO4J_USERNAME="your_neo4j_username"
+NEO4J_PASSWORD="your_neo4j_password"

.gitignore

@@ -46,6 +46,8 @@ yarn-error.log*
 .idea
 /.localFiles
 .windsurf/rules/markdowncreation.md
+/public/vad
+*.pyc
 
 # kiro
 .kiro

README.md

@@ -1,19 +1,90 @@
-# PDR AI - Professional Document Reader AI
+# Launchstack - Professional Document Reader AI
 
-PDR AI is a Next.js platform for role-based document management, AI-assisted Q&A, and predictive document analysis. It combines document upload, optional OCR, embeddings, and retrieval to help teams find gaps and act faster.
+Launchstack is a Next.js platform for role-based document management, AI-assisted Q&A, and predictive document analysis. It combines document upload, optional OCR, embeddings, and retrieval to help teams find gaps and act faster.
 
 ## Core Features
 
 - Clerk-based Employer/Employee authentication with role-aware middleware.
 - Document upload pipeline with optional OCR for scanned PDFs.
 - PostgreSQL + pgvector semantic retrieval for RAG workflows.
 - AI chat and predictive document analysis over uploaded content.
+- Agent guardrails with PII filtering, grounding checks, and confidence gating.
+- Supervisor agent that validates outputs against domain-specific rubrics.
+- Marketing pipeline with content generation for Reddit, X, LinkedIn, and Bluesky.
 - Optional web-enriched analysis with Tavily.
 - Optional reliability/observability via Inngest and LangSmith.
 
+## Predictive Analysis — Supported Document Types
+
+Launchstack runs domain-specific analysis tailored to your document type:
+
+| Type | What It Detects |
+|------|----------------|
+| **Contract** | Missing exhibits, schedules, addendums, and supporting agreements |
+| **Financial** | Missing balance sheets, audit reports, income statements |
+| **Technical** | Missing specifications, manuals, diagrams, deliverables |
+| **Compliance** | Missing regulatory filings, certifications, policy documents |
+| **Educational** | Missing syllabi, handouts, readings, linked resources |
+| **HR** | Missing policies, forms, benefits materials, handbooks |
+| **Research** | Missing cited papers, datasets, supplementary materials |
+| **General** | Any document with cross-references and attachments |
+
+Each analysis type also extracts insights (deadlines, action items, resources, caveats) and runs chain-of-verification on high-priority predictions.
+
+## Importing External Knowledge
+
+Launchstack can ingest content exported from third-party tools. No API keys or OAuth setup required — export your data, upload the files, and the ingestion pipeline handles the rest.
+
+### Supported Export Formats
+
+| Source | Export Method | Resulting Format | Launchstack Adapter |
+|--------|-------------|-----------------|----------------|
+| **Notion** | Settings > Export > Markdown & CSV | `.md`, `.csv` (ZIP) | TextAdapter, SpreadsheetAdapter |
+| **Notion** | Page > Export > HTML | `.html` | HtmlAdapter |
+| **Google Docs** | File > Download > Microsoft Word | `.docx` | DocxAdapter |
+| **Google Sheets** | File > Download > CSV or Excel | `.csv`, `.xlsx` | SpreadsheetAdapter |
+| **Google Drive** | Google Takeout (takeout.google.com) | `.docx` (ZIP) | DocxAdapter |
+| **Slack** | Workspace Settings > Import/Export > Export | `.json` (ZIP) | JsonExportAdapter |
+| **GitHub** | Code > Download ZIP | `.md`, `.txt` (ZIP) | TextAdapter |
+| **GitHub** | `gh issue list --json ...` | `.json` | JsonExportAdapter |
+| **GitHub** | `gh pr list --json ...` | `.json` | JsonExportAdapter |
+
+### How to Export
+
+**Notion**
+1. Open your Notion workspace.
+2. Click the **...** menu on a page, or go to **Settings & members > Export** for a full workspace export.
+3. Select **Markdown & CSV** as the format and check **Include subpages** if needed.
+4. Download the ZIP and upload it directly to Launchstack.
+
+**Google Docs / Sheets**
+1. Open the document in Google Docs or Sheets.
+2. Go to **File > Download** and choose **Microsoft Word (.docx)** or **CSV / Excel (.xlsx)**.
+3. Upload the downloaded file. For bulk exports, use [Google Takeout](https://takeout.google.com) to export your Drive as a ZIP.
+
+**Slack**
+1. Go to **Workspace Settings > Import/Export Data > Export**.
+2. Choose a date range and start the export.
+3. Download the ZIP and upload it to Launchstack. Each channel's messages will be ingested as a separate document.
+
+**GitHub**
+1. **Repo docs**: Click **Code > Download ZIP** on any GitHub repository. Upload the ZIP — all Markdown and text files will be ingested.
+2. **Issues**: Install the [GitHub CLI](https://cli.github.com/) and run:
+   ```bash
+   gh issue list --state all --limit 1000 --json number,title,body,state,labels,author,createdAt,closedAt,comments > issues.json
+   ```
+   Upload the resulting `issues.json` file.
+3. **Pull requests**: Run:
+   ```bash
+   gh pr list --state all --limit 1000 --json number,title,body,state,labels,author,createdAt,mergedAt,comments > prs.json
+   ```
+   Upload the resulting `prs.json` file.
+
+All uploaded content flows through the standard ingestion pipeline (chunking, embedding, RAG indexing) and becomes searchable alongside your other documents.
+
 ## Architecture
 
-PDR AI follows a three-layer modular architecture:
+Launchstack follows a three-layer modular architecture:
 
 ```mermaid
 block-beta
@@ -137,6 +208,10 @@ Optional integrations:
 - `LANDING_AI_API_KEY`, `DATALAB_API_KEY`
 - `LANGCHAIN_TRACING_V2`, `LANGCHAIN_API_KEY`, `LANGCHAIN_PROJECT`
 - `DEBUG_PERF` (`1` or `true`) to enable dev perf logs for middleware and key auth/dashboard APIs
+- `SIDECAR_URL`
+- `NEO4J_URI`
+- `NEO4J_USERNAME`
+- `NEO4J_PASSWORD`
 
 ### 2.1) Configure Vercel Blob Storage
 
@@ -242,6 +317,12 @@ pnpm build
 pnpm start
 ```
 
+## Roadmap — Future Integrations
+
+- **Notion API-key connector**: Paste your Notion Internal Integration token in settings, select pages to sync. No OAuth required. Contributions welcome.
+- **GitHub webhook sync**: Automatically ingest new issues and PRs via repository webhooks.
+- **Google Drive watch**: Automatic re-sync when Google Docs are updated, using Drive push notifications.
+
 ## Troubleshooting
 
 - Confirm Docker is running before DB startup.

docker-compose.yml

@@ -75,6 +75,12 @@ services:
       AZURE_DOC_INTELLIGENCE_ENDPOINT: ${AZURE_DOC_INTELLIGENCE_ENDPOINT:-}
       AZURE_DOC_INTELLIGENCE_KEY: ${AZURE_DOC_INTELLIGENCE_KEY:-}
       LANDING_AI_API_KEY: ${LANDING_AI_API_KEY:-}
+      # Anthropic / Google (optional — enables Claude and Gemini models)
+      ANTHROPIC_API_KEY: ${ANTHROPIC_API_KEY:-}
+      GOOGLE_AI_API_KEY: ${GOOGLE_AI_API_KEY:-}
+      # Ollama (optional — set OLLAMA_BASE_URL to an Ollama instance)
+      OLLAMA_BASE_URL: ${OLLAMA_BASE_URL:-}
+      OLLAMA_MODEL: ${OLLAMA_MODEL:-}
     ports:
       - "3000:3000"
 

docs/Architechture/Overall.md

@@ -1,4 +1,4 @@
-# PDR AI — Modular Architecture Overview
+# Launchstack — Modular Architecture Overview
 
 ## Three-Layer Architecture
 

docs/deployment.md

@@ -1,6 +1,6 @@
 # Deployment Guide
 
-This document covers deployment options for PDR AI.
+This document covers deployment options for Launchstack.
 
 ## Prerequisites
 

docs/feature-workflows.md

@@ -1,10 +1,10 @@
 # Feature Workflows and Architecture
 
-This document explains how major PDR AI features connect end to end.
+This document explains how major Launchstack features connect end to end.
 
 ## End-to-end workflow
 
-PDR AI follows this loop:
+Launchstack follows this loop:
 
 1. Authenticate user with role context (Employer/Employee)
 2. Upload document (cloud or database storage)

docs/observability.md

@@ -1,6 +1,6 @@
 # Observability & Metrics
 
-The PDR AI backend exposes Prometheus-compatible metrics for request health, cache efficiency, and search behavior.
+The Launchstack backend exposes Prometheus-compatible metrics for request health, cache efficiency, and search behavior.
 
 ## Available Metrics
 

drizzle/0004_document_mime_type.sql

@@ -0,0 +1 @@
+ALTER TABLE "document" ADD COLUMN "mime_type" varchar(128);

next.config.ts

@@ -35,6 +35,10 @@ const config: NextConfig = {
     return webpackConfig;
   },
 
+  experimental: {
+    middlewareClientMaxBodySize: "128mb",
+  },
+
   eslint: { ignoreDuringBuilds: true },
   typescript: { ignoreBuildErrors: true },