docqa

MemGPT over LlamaIndex API Docs

MemGPT enables you to chat with your data -- try running this example to talk to the LlamaIndex API docs!

1. a. Download LlamaIndex API docs and FAISS index from Hugging Face.

   # Make sure you have git-lfs installed (https://git-lfs.com)
   git lfs install
   git clone https://huggingface.co/datasets/MemGPT/llamaindex-api-docs

   -- OR --

   b. Build the index:

   1. Build llama_index API docs with make text. Instructions here. Copy over the generated _build/text folder to this directory.
   2. Generate embeddings and FAISS index.

      python3 scrape_docs.py
      python3 generate_embeddings_for_docs.py all_docs.jsonl
      python3 build_index.py --embedding_files all_docs.embeddings.jsonl --output_index_file all_docs.index

2. In the root MemGPT directory, run

   python3 main.py --archival_storage_faiss_path=<ARCHIVAL_STORAGE_FAISS_PATH> --persona=memgpt_doc --human=basic

   where ARCHIVAL_STORAGE_FAISS_PATH is the directory where all_docs.jsonl and all_docs.index are located. If you downloaded from Hugging Face, it will be memgpt/personas/docqa/llamaindex-api-docs. If you built the index yourself, it will be memgpt/personas/docqa.

Demo