deepset-ai / deepset-ai/haystack
Add references to related LLM framework projects (LangChain and LlamaIndex)
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- 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
-
LangChain - https://github.com/langchain-ai/langchain
- A framework for developing applications powered by language models
- Currently has ~233 open issues
-
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
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- 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