farm-haystack
LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data.
Decision gist · record as of 2026-08-14
No—do not install this package for new projects. Haystack 1.x reached end-of-life on March 11, 2025 and receives no further updates or support. The final version is 1.26.4. Migrate to Haystack 2.x (distributed as haystack-ai) instead, which has been stable since March 2024 and includes more flexible pipelines, better component customization, improved integrations, and production-ready features. Existing 1.x codebases may continue to run, but new development should use haystack-ai.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later.
- The package reached end-of-life on March 11, 2025 and is no longer receiving updates; new projects should use haystack-ai instead.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions, suitable for most production deployments.
last release 2025-04-03 (498 days) · last repo commit 2026-08-14 · 26,210 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 80,201 downloads/mo, #14,310 on PyPI
Alternatives
Verify before relying
pip install farm-haystack
from haystack.pipelines import Pipeline
from haystack.nodes import Retriever, PromptNode
pipeline = Pipeline()
pipeline.add_node(Retriever(), name="retriever", inputs=["Query"])
pipeline.add_node(PromptNode(), name="prompt", inputs=["retriever"])- Exact performance characteristics and scalability limits for document retrieval at production scale.
- Compatibility and testing status with specific vector database versions (Weaviate, Pinecone, FAISS, etc.).
- Migration effort and breaking changes when upgrading from 1.x to Haystack 2.x (haystack-ai).
What it is and what it does
Haystack is a framework for building NLP applications powered by large language models, transformers, and vector search. It provides a pipeline architecture where data flows through nodes—each performing a single task like document retrieval, preprocessing, or LLM inference—and an agent system that uses an LLM to decide the next action dynamically. The framework includes built-in support for multiple document stores (Elasticsearch, Weaviate, Pinecone, FAISS), language models from OpenAI and Hugging Face, and tools for semantic search, question answering, and retrieval-augmented generation.
The package depends on 23 runtime libraries including pandas, scikit-learn, transformers, tiktoken, and others for data handling, ML operations, and LLM integration. However, Haystack 1.x reached end-of-life on March 11, 2025 and is no longer maintained. The maintainers have released Haystack 2.x as a separate package (haystack-ai) with improved pipeline flexibility, better component composition, and production-ready features like structured logging and tracing. Existing users are strongly encouraged to migrate.
Use it for
- Build retrieval-augmented generation (RAG) systems that combine vector search with LLM generation over custom documents.
- Create question-answering applications that find and synthesize answers from large document collections in natural language.
- Perform semantic document search and ranking based on meaning rather than keyword matching.
- Develop agent-based systems that use an LLM to reason over multiple tools and data sources to resolve complex queries.
- Fine-tune transformer models on domain-specific data and integrate them into end-to-end NLP pipelines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No—do not install this package for new projects.
Haystack 1.x reached end-of-life on March 11, 2025 and receives no further updates or support. The final version is 1.26.4. Migrate to Haystack 2.x (distributed as haystack-ai) instead, which has been stable since March 2024 and includes more flexible pipelines, better component customization, improved integrations, and production-ready features. Existing 1.x codebases may continue to run, but new development should use haystack-ai.
Install
farm-haystack on PyPI
Before you install
Low install friction with a pure-Python wheel. The package is actively maintained with recent commits and a large community (26210 stars), though it reached end-of-life on March 11, 2025 and is no longer receiving updates—the maintainers recommend migrating to Haystack 2.x via the separate haystack-ai package.
Requires Python 3.8 or later. The package reached end-of-life on March 11, 2025 and is no longer receiving updates; new projects should use haystack-ai instead.
License in practice
Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions, suitable for most production deployments.
Quickstart
pip install farm-haystack
from haystack.pipelines import Pipeline
from haystack.nodes import Retriever, PromptNode
pipeline = Pipeline()
pipeline.add_node(Retriever(), name="retriever", inputs=["Query"])
pipeline.add_node(PromptNode(), name="prompt", inputs=["retriever"])Verify before relying
- Exact performance characteristics and scalability limits for document retrieval at production scale.
- Compatibility and testing status with specific vector database versions (Weaviate, Pinecone, FAISS, etc.).
- Migration effort and breaking changes when upgrading from 1.x to Haystack 2.x (haystack-ai).
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 23 packagesboilerpy3eventshttpxjsonschemalazy-importsmore-itertoolsnetworkxpandaspillowplatformdirsposthogprompthub-pypydanticquantulum3rank-bm25requestsrequests-cachescikit-learnsseclient-pytenacitytiktokentqdmtransformers |
| Maintenance | Actively maintained 498 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 80,201 / month, #14,310 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: Science/ResearchLicense :: Freely DistributableLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: farm_haystack-1.26.4.post0-py3-none-any.whl
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See also haystack-ai · haystack-experimental · django-haystack · openinference-instrumentation-haystack · opentelemetry-instrumentation-haystack · weasel · graph-retriever · ragstack-ai-knowledge-store · llama-index · llama-index-core