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#rag (22)

Cheat sheets (22)

chromadb — Embedded Vector Database

Package-level reference for chromadb on PyPI — install variants, server/client split, embedding-function extras, and alternative vector stores.
pip package ai vector-search rag embeddings

haystack-ai — LLM Pipelines from deepset

Package-level reference for haystack-ai on PyPI — install variants, the farm-haystack v1 → haystack-ai v2 rename, integrations, and alternative frameworks.
pip package ai rag agents

langchain — LLM Application Framework Family

Package-level reference for the langchain family on PyPI — install variants, partner packages, version churn, and alternatives.
pip package llm ai langchain agents rag

qdrant-client — Python Client for Qdrant

Package-level reference for qdrant-client on PyPI — install variants, server version matching, gRPC vs HTTP, fastembed extras, and alternatives.
pip package ai vector-search rag embeddings

ragas — RAG Evaluation Framework

Package-level reference for ragas on PyPI — install variants, LLM-as-judge dependencies, metric churn, and alternative evaluators.
pip package ai rag evaluation

sentence-transformers — Embedding & Reranking Models

Package-level reference for the sentence-transformers library on PyPI — install, transformers/torch deps, model registry, and embedding alternatives.
pip package llm ai embeddings rag huggingface

trulens-eval — LLM App Evaluation and Tracing

Package-level reference for trulens-eval on PyPI — install variants, the trulens umbrella rename, framework extras, and alternative evaluators.
pip package ai rag evaluation observability

unstructured — Document Parsing for RAG Pipelines

Package-level reference for unstructured on PyPI — install variants, the huge extras tree, system-level dependencies, and alternative parsers.
pip package ai rag filesystem

weaviate-client — Python Client for Weaviate

Package-level reference for weaviate-client on PyPI — install variants, the v3 → v4 API split, gRPC, and alternative vector stores.
pip package ai vector-search rag embeddings

Haystack 2.x — Pipelines for LLM Applications

Build production-grade LLM pipelines with Haystack 2.x. Covers components, the pipeline graph, indexing and querying, retrievers, generators, RAG patterns, and evaluation.
python haystack llm rag ai pipelines deepset retrievers generators

Prompting

Prompt engineering patterns, RAG, evaluations, few-shot, chain-of-thought, and structured output — foundational techniques for extracting reliable, structured behavior from LLMs.
prompting rag llm prompt-engineering cot few-shot evals structured-output

RAG Implementation Checklist

End-to-end checklist and code for building reliable Retrieval-Augmented Generation pipelines — chunking, embedding, vector DBs, retrieval, and evaluation.
rag ai embeddings vector-db llm retrieval semantic-search

Sentence Transformers — Embeddings, Search & Fine-Tuning

Comprehensive reference for the sentence-transformers Python library — embeddings, similarity, clustering, retrieval, fine-tuning, and popular models (BGE, E5, GTE, Nomic, Jina).
python embeddings nlp sentence-transformers semantic-search vector-db rag clustering fine-tuning bge e5 gte nomic jina

ChromaDB — Embedded Vector Database

Store and query vector embeddings locally or over a network with ChromaDB. Covers client types, collections, add, query, metadata filters, embedding functions, and LangChain/LlamaIndex integration.
python chromadb vector-database embeddings rag ai similarity-search

crewAI — Role-Based Agent Crews

Orchestrate teams of role-playing AI agents with crewAI. Covers agents, tasks, crews, tools, LLM selection, memory, YAML config, and the kickoff lifecycle.
python crewai agents llm ai multi-agent rag tools

LangChain — LLM Application Framework

Build LLM-powered pipelines with LangChain. Covers LCEL chains, chat models, prompts, output parsers, tools, agents, retrievers, memory, and streaming.
python langchain llm ai rag agents openai anthropic

LlamaIndex — Data Framework for LLMs

Build RAG pipelines and LLM-powered data applications with LlamaIndex. Covers document loading, indexing, query engines, custom LLMs and embeddings, persistent storage, and agents.
python llamaindex llm rag ai embeddings agents retrieval

qdrant-client — High-Performance Vector Database

Store and search vector embeddings with the Qdrant Python client. Covers collections, CRUD, filtered vector search, payload indexing, batch upsert, sparse/dense hybrid search, and integrations.
python qdrant vector-database embeddings rag search ai

ragas — RAG Evaluation Framework

Measure and improve RAG pipeline quality with ragas. Covers faithfulness, answer relevancy, context precision, context recall, dataset format, LLM judges, and CI integration.
python ragas rag evaluation llm ai retrieval metrics

TruLens — LLM App Evaluation

Evaluate and monitor LLM applications with TruLens. Covers the RAG triad, feedback functions, TruChain, TruLlama, custom evaluators, the dashboard, and CI integration.
python trulens rag evaluation llm ai observability feedback

unstructured — Document Parsing & Ingestion

Extract structured text from PDFs, Word docs, HTML, images, and more with the unstructured library. Covers partitioning, chunking, cleaning, metadata, and pipeline integrations.
python unstructured pdf parsing ingestion rag document etl

weaviate-client — Vector Database Client

Store, search, and manage vector embeddings with the Weaviate Python client. Covers collections, CRUD, vector/hybrid/BM25 search, multi-tenancy, generative search, and batch import.
python weaviate vector-database embeddings rag search ai