0.6.1 • Published 1 year ago

@cognosis/platform v0.6.1

Weekly downloads
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License
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Repository
github
Last release
1 year ago

Cognosis AI Platform

Summary

The Cognosis AI Platform contains an application server and all of the infrastructure you need to build Large Language Model applications with, batteries included!

Quickstart

Requirements:

  • Docker
  • Node 19

Step 1: Get Infrastructure Running

# Clone the repo and cd into it
git clone git@github.com:cognosisai/platform.git
cd platform
  
# On Apple M1/M2 chips:
make build-apple
# On x86:
make build-x86
  
# Spin it all up! This runs docker-compose up, and will get you
# Elasticsearch 8.5, cognosis-embeddings service, and temporalite, which
# is a single Docker container version of Temporal meant for development
make run

Step 2: Configure

Edit .env, and populate it with the following information:

TEMPORAL_HOST="localhost:7233"
ELASTIC_CONFIG={"auth":{"username":"elastic","password":"changeme"},"node":"http://localhost:9200"}
OPENAI_TOKEN="<OpenAI Token>"
NLPCLOUD_TOKEN="<NLP Cloud Token>"
EMBEDDINGS_URL="http://localhost:9100"

Step 3: Install NPM modules

npm install

Step 4: Start Temporal Worker

ts-node src/worker.ts

This will take a few seconds. It will be ready when you see this:

2022-11-05T23:51:17.087Z [INFO] webpack 5.74.0 compiled successfully in 717 ms
2022-11-05T23:51:17.093Z [INFO] Workflow bundle created { size: '0.91MB' }
2022-11-05T23:51:17.141Z [INFO] Worker state changed { state: 'RUNNING' }

Step 5: AI!

ts-node src/cli/cognosis.ts "Give me a really terrible idea involving an \
icepick, and bottle of elmer's wood glue"
Starting wfid workflow-fC-ONstofj4T4G9C_JQv5
  
Use the icepick to make a hole in the bottle of glue, then drink it.

Application Server Components

Elastic Search

Temporal

Embeddings (Tensorflow - Google USE5)

Cognosis AI SDK

Cognosis AI SDK

Cognosis AI Platform includes