indexpaper 0.0.1

indexpaper - library to index papers with vector databases

indexpaper

The project devoted to indexing papers in vector databases

It was originally part of getpaper but now has not dependencies on it

We provide features to index the papers with openai or llama embeddings and save them in chromadb vector store. For openai embeddings to work you have to create .env file and specify your openai key there, see .env.template as example

For example if you have your papers inside data/output/test/papers folder, and you want to make a ChromaDB index at data/output/test/index you can do it by:

indexpaper/index.py index_papers --papers data/output/test/papers --folder data/output/test/index --collection mypapers --chunk_size 6000

It is possible to use both Chroma and Qdrant. To use qdrant we provide docker-compose file to set it up:

cd services
docker compose -f docker-compose.yaml up

then you can run the indexing of the paper with Qdrant:

indexpaper/index.py index_papers --papers data/output/test/papers --url http://localhost:6333 --collection mypapers --chunk_size 6000 --database Qdrant

You can also take a look if things were added to the collection with qdrant web UI by checking http://localhost:6333/dashboard

Indexing with Llama-2 embeddings

You can also use llama-2 embeddings if you install llama-cpp-python and pass a path to the model, for example for https://huggingface.co/TheBloke/Llama-2-13B-GGML model:

indexpaper/index.py index_papers --papers data/output/test/papers --url http://localhost:6333 --collection papers_llama2_2000 --chunk_size 2000 --database Qdrant --embeddings llama --model /home/antonkulaga/sources/indexpaper/data/models/llama-2-13b-chat.ggmlv3.q2_K.bin

Instead of explicitly pathing the model path you can also include the path to LLAMA_MODEL to the .env file as:

LLAMA_MODEL="/home/antonkulaga/sources/indexpaper/data/models/llama-2-13b-chat.ggmlv3.q2_K.bin"

Note: if you want to use Qdrant cloud you do not need docker-compose, but you need to provide a key and look at qdrant cloud setting for the url to give.

indexpaper/index.py index_papers --papers data/output/test/papers --url https://5bea7502-97d4-4876-98af-0cdf8af4bd18.us-east-1-0.aws.cloud.qdrant.io:6333 --key put_your_key_here --collection mypapers --chunk_size 6000 --database Qdrant

Note: there are temporal issues with embeddings for llama.

Examples

You can run examples.py to see usage examples

Additional requirements

index.py has local dependencies on other modules, for this reason if you are running it inside indexpaper project folder consider having it installed locally:

pip install -e .