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!

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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