Awesome
cl-rag-example
A simple demo of LLM+RAG using Common Lisp and OpenAI
This simple demo ingests an annual shareholder report into a Chroma vector database, and then uses RAG-assisted generative AI to answer questions.
To support this task, we use:
- cl-embeddings for LLM embeddings.
- cl-completions for LLM completions.
- cl-chroma for the vector DB interface.
Usage
Install pdftotext
. On Fedora, this is provided in the
poppler-utils
package.
Install all Lisp dependencies with ocicl.
To make all of this work I had to submit fixes to jzon
and
openapi-generator
, so you will need the very latest versions of
those systems. They are all available in the ocicl repos.
$ ocicl install
Now examine rag.lisp
to find the link to the earnings report we will
analyze. Download it.
Download and install the Chroma vector DB:
$ pip install chromadb
$ chroma run
Get an OpenAI API key, and set the OPENAI_API_KEY
environment variable.
$ export OPENAI_API_KEY=sk-dfgdfgdfgsdjhgdkjfghskdjfhgdskjfhgkjhg
Now run the example:
$ sbcl --eval "(asdf:load-system :rag)" --eval "(rag::run)"
Author and License
cl-rag-example
was written by Anthony
Green and is distributed under the terms
of the MIT license.