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High accuracy RAG for answering questions from scientific documents with citations

Results 248 paper-qa issues
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Hi, do you have any guidance or examples for the `Settings` parameter in order to use paper QA with entirely AWS Bedrock models. I'm able to access by Bedrock's LLM...

question

Hello, I currently use paperQA with Llama3.1:70b served by Ollama. I can see in debug logs 'stream' parameter is set up as 'False' even if i pass it as 'True'...

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I am trying to understand how documents are loaded, stored and embeddings created when using the `agent_query` method. This method works well and I would like to know what's working...

question

The new complete tool allows the agent to call it quits after trying many search iterations. This is great but if it finds no relevant evidence, the GenerateAnswer tool won't...

bug

Hello, I currently use paperQA with Llama3.1:70b served by Ollama. With LLM default parameters, answers quality is often poor, especially when I increase `answer.evidence_k` and `answer.answer_max_sources`. With default answer settings,...

question

Trying to use Claude to index a folder from the command line. ```sh pqa \ --llm "anthropic/litellm-claude-3-5-sonnet-20241022" \ --summary_llm "anthropic/litellm-claude-3-5-sonnet-20241022" \ index . ``` But although my API key is...

bug
documentation

When running the script, I encountered two main issues: 1. The library defaults to using the GPT-4o model despite setting the LLM to gpt-4o-mini, leading to higher costs. 2. I...

bug

Has anyone tried this tool with scientific spec sheets like those provided for manufacturing tools, probes, measurement devices, etc. Is there anything in the way the models are prompted or...

question

Is there a recipe or script to exactly reproduce the steps used to create the WikiCrow articles for genes (e.g., https://wikicrow.ai/NOVA2)? I've seen the config file https://github.com/Future-House/paper-qa/blob/main/paperqa/configs/wikicrow.json, but how exactly...

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Hello, I'm using Mixtral 8x7b Instruct with PaperQA but but I noticed that the quality of the answers is relatively random (sometimes good, sometimes very bad...). I read instruct models...

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