Show HN: Open-source Rule-based PDF parser for RAG

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  • llmsherpa

    Developer APIs to Accelerate LLM Projects

  • I wrote about split points and the need for including section hierarchy in this post: https://ambikasukla.substack.com/p/efficient-rag-with-docume...

    All this is automated in the llmsherpa parser https://github.com/nlmatics/llmsherpa which you can use as an API over this library.

  • nlm-ingestor

    This repo provides the server side code for llmsherpa API to connect. It includes parsers for various file formats.

  • Here's another notebook from the repo with examples: https://github.com/nlmatics/nlm-ingestor/blob/main/notebooks...

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • txtai

    💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

  • Nice project! I've long used Tika for document parsing given it's maturity and wide number of formats supported. The XHTML output helps with chunking documents for RAG.

    Here's a couple examples:

    - https://neuml.hashnode.dev/build-rag-pipelines-with-txtai

    - https://neuml.hashnode.dev/extract-text-from-documents

    Disclaimer: I'm the primary author of txtai (https://github.com/neuml/txtai).

  • grobid

    A machine learning software for extracting information from scholarly documents

  • paperetl

    📄 ⚙️ ETL processes for medical and scientific papers

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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