/databerry

The no-code platform for building custom LLM Agents

Primary LanguageTypeScriptGNU Affero General Public License v3.0AGPL-3.0


Chaindesk
Chaindesk

The no-code platform for building custom LLM Agents


Chaindesk

Chaindesk provides a user-friendly solution to quickly setup a semantic search system over your personal data without any technical knowledge.

📄 Documentation

Features

  • Load data from anywhere
    • Raw text
    • Web page
    • Files
      • Word
      • Excel
      • Powerpoint
      • PDF
      • Markdown
      • Plain Text
    • Web Site (coming soon)
    • Notion (coming soon)
    • Airtable (coming soon)
  • No-code: User-friendly interface to manage your datastores and chat with your data
  • Securized API endpoint for querying your data
  • Auto sync data sources (coming soon)
  • Auto generates a ChatGPT Plugin for each datastore

Semantic Search Specs

  • Vector Database: Qdrant
  • Embeddings: Openai's text-embedding-ada-002
  • Chunk size: 1024 tokens

Stack

  • Next.js
  • Joy UI
  • LangchainJS
  • PostgreSQL
  • Prisma
  • Qdrant

Inspired by the ChatGPT Retrieval Plugin.

Run the project locally

Without docker compose

Minimum requirements to run the projects locally

  • Node.js v18
  • Postgres Database
  • Redis
  • Qdrant
  • GitHub App (NextAuth)
  • Email Provider (NextAuth)
  • OpenAI API Key
  • AWS S3 Credentials

Run locally (Docker required)

cp .env.example .env.local
# Add your own OPENAI_API_KEY

pnpm dev

# pupeteer browser local
brew install chromium --no-quarantine

# Dev emails inbox (maildev)
# visit http://localhost:1080