Top 10 Python Libraries for Generative AI You Need to Master in 2025
1. LangChain
The backbone of intelligent LLM apps.
Build agents that:
✅ Reason
✅ Use tools
✅ Remember conversations
✅ Access APIs
If you're building anything with GPTs, LangChain is your starting point.
https://www.langchain.com/
2. LangGraph
LangChain + DAGs = LangGraph.
It powers:
- Multi-agent workflows
- Conditional logic
- Real-time state management
If you're serious about production AI agents, this is a must.
https://www.langgraph.dev/
3. Docling
Document intelligence built on LangChain.
Parse, summarize, and extract structured data from:
- PDFs
- Contracts
- Reports
Perfect for legal, finance, and enterprise GenAI.
https://docling-project.github.io/docling/
4. OpenAI Python SDK
Your direct line to:
- GPT-4o
- DALL·E
- Whisper
- Embeddings
One SDK, endless capabilities.
https://platform.openai.com/
5. Markitdown (by Microsoft)
Python tool for converting files and office documents to Markdown:
PDF
PowerPoint
Word
Excel
Images (EXIF metadata and OCR)
Audio (EXIF metadata and speech transcription)
HTML
https://github.com/microsoft/markitdown
6. Streamlit
Build beautiful, shareable GenAI dashboards in minutes.
- Upload a doc
- Ask questions
- View plots & summaries
No frontend experience needed.
https://streamlit.io/
7. FastAPI
Serve your models with blazing speed.
Used for:
- GenAI microservices
- LLM backends
- Agent APIs
It's the modern web standard for ML apps.
https://fastapi.tiangolo.com/
8. Faiss
FAISS = Fast Approximate Nearest Neighbor Search.
Turn embeddings into…
- Semantic search
- RAG systems
- Instant retrieval
Facebook built it. Everyone uses it.
https://github.com/facebookresearch/faiss
9. SentenceTransformers
Generate embeddings for:
- Sentences
- Paragraphs
- Documents
Critical for:
✅ Clustering
✅ Similarity search
✅ Retrieval
https://www.sbert.net/
10. MLflow
Track experiments. Compare models. Deploy GenAI apps.
You’ll thank yourself later when you need to explain why one prompt worked better than another.
https://mlflow.org/
#پایتون #Python #هوش_مصنوعی
🆔 @Python4all_pro
1. LangChain
The backbone of intelligent LLM apps.
Build agents that:
✅ Reason
✅ Use tools
✅ Remember conversations
✅ Access APIs
If you're building anything with GPTs, LangChain is your starting point.
https://www.langchain.com/
2. LangGraph
LangChain + DAGs = LangGraph.
It powers:
- Multi-agent workflows
- Conditional logic
- Real-time state management
If you're serious about production AI agents, this is a must.
https://www.langgraph.dev/
3. Docling
Document intelligence built on LangChain.
Parse, summarize, and extract structured data from:
- PDFs
- Contracts
- Reports
Perfect for legal, finance, and enterprise GenAI.
https://docling-project.github.io/docling/
4. OpenAI Python SDK
Your direct line to:
- GPT-4o
- DALL·E
- Whisper
- Embeddings
One SDK, endless capabilities.
https://platform.openai.com/
5. Markitdown (by Microsoft)
Python tool for converting files and office documents to Markdown:
PowerPoint
Word
Excel
Images (EXIF metadata and OCR)
Audio (EXIF metadata and speech transcription)
HTML
https://github.com/microsoft/markitdown
6. Streamlit
Build beautiful, shareable GenAI dashboards in minutes.
- Upload a doc
- Ask questions
- View plots & summaries
No frontend experience needed.
https://streamlit.io/
7. FastAPI
Serve your models with blazing speed.
Used for:
- GenAI microservices
- LLM backends
- Agent APIs
It's the modern web standard for ML apps.
https://fastapi.tiangolo.com/
8. Faiss
FAISS = Fast Approximate Nearest Neighbor Search.
Turn embeddings into…
- Semantic search
- RAG systems
- Instant retrieval
Facebook built it. Everyone uses it.
https://github.com/facebookresearch/faiss
9. SentenceTransformers
Generate embeddings for:
- Sentences
- Paragraphs
- Documents
Critical for:
✅ Clustering
✅ Similarity search
✅ Retrieval
https://www.sbert.net/
10. MLflow
Track experiments. Compare models. Deploy GenAI apps.
You’ll thank yourself later when you need to explain why one prompt worked better than another.
https://mlflow.org/
#پایتون #Python #هوش_مصنوعی
🆔 @Python4all_pro
Langchain
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
👆👆👆Top 10 Python Libraries for Generative AI You Need to Master in 2025
(The tools behind document agents, intelligent assistants, and next-gen interfaces.)
#پایتون #Python #هوش_مصنوعی
🆔 @Python4all_pro
(The tools behind document agents, intelligent assistants, and next-gen interfaces.)
#پایتون #Python #هوش_مصنوعی
🆔 @Python4all_pro