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apiVersion: v1
kind: ConfigMap
metadata:
  name: ipfs-env
  labels:
    app: ipfs
data:
  IPFS_ENABLE_S3: "true"
  IPFS_S3_REGION: "us-east-1"
  IPFS_S3_BUCKET_NAME: "**"

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type Book {
  name: String! @string(maxLength: 255)
  editor: Person @relation
  description: String! @string(maxLength: 1000)
  inLanguage: String! @string(maxLength: 50)
  keywords: [String!]! @list(maxLength: 20)
  isbn: [String!]! @list(maxLength: 5)
  publisher: Publisher @relation
  datePublished: Date
  locationCreated: Place @relation

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type EmbeddingContext {
  # context is the transformed representation of a node before obtaining embeddings.
  # This can include the node's content with added context information for embedding tasks like summaries, etc.
  # Raw document is used if it's null.
  context: String @string(maxLength:100000000)

  # contextDescription is a human-readable description of the context.
  contextDescription: String! @string(maxLength:600)

  # category is the category or namespace for the embedding.

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//Thank you ChatGPT

function jsonSchemaToGraphQLFragment(schema, typeName, setPrefix = false) {
  // Helper function to resolve $ref references within the schema
  function resolveRef(ref, defs) {
    const refPath = ref.replace(/^#\/\$defs\//, '');
    return defs[refPath];
  }

  // Helper function to process each field in the schema

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import os
from langchain.agents import Tool
from langchain.tools.retriever import create_retriever_tool
from langchain_openai import OpenAIEmbeddings
from indexclient import IndexChroma
from crewai import Agent, Task, Crew, Process


# TODO
# I had to install langchain_chroma seperately. It should be included in the requirements

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Cross-Channel Strategy Implementation Guide

1. Event-Tech Bridge Strategy

Example Flow: