deepset-ai / deepset-ai/haystack

Add references to related LLM framework projects (LangChain and LlamaIndex)

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P3
Dominant language
Python
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Description

Summary

This issue proposes adding references to related LLM framework projects in the Haystack repository.

Related Projects

  1. LangChain - https://github.com/langchain-ai/langchain

    • A framework for developing applications powered by language models
    • Currently has ~233 open issues
  2. LlamaIndex - https://github.com/run-llama/llama_index

    • A data framework for LLM applications to ingest, structure, and access private or domain-specific data
    • Currently has ~230 open issues

Comparison

Project Open Issues Focus
Haystack ~95 Production-ready NLP pipelines
LangChain ~233 General LLM application framework
LlamaIndex ~230 Data framework for LLMs

Open issue counts as of March 2026

Suggestion

Consider adding a section in the README.md or creating a RELATED_PROJECTS.md file to document these related projects. This would help users understand the LLM framework ecosystem and how Haystack fits into it.

Benefits

  • Helps developers understand the LLM framework landscape
  • Provides context for users comparing different frameworks
  • Demonstrates Haystack's position in the ecosystem (notably, Haystack has fewer open issues, which may indicate good maintenance)

What do you think?

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing README.md to see where related projects are documented, then compare that with the proposed RELATED_PROJECTS.md option. The work is complete when the Haystack repository includes clear references to LangChain and LlamaIndex with their supplied descriptions and links.

Written by the indexing model from the issue text.

Assessment

Domain
documentation
Issue type
Documentation
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

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