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Python client for Qdrant vector database. Supports local and cloud modes, FastEmbed integration, async operations, and both REST and gRPC protocols.

Analyze and work with the LanceDB Python library for vector database operations

Set up and use ChromaDB, the open-source embedding database for LLM applications with semantic search and memory capabilities.

Microsoft's AI orchestration SDK for building agents, multi-agent systems, and AI workflows with Python. Supports OpenAI, Azure, Hugging Face, and 20+ LLM providers.

Analyze PyPI packages and extract structured information

A guidance language for controlling large language models with interleaved generation, prompting, and logical control in a single continuous flow.

GenAI agent framework for building production-grade applications with LLMs using Pydantic validation, type safety, and dependency injection

Extract reliable structured JSON from LLMs using Pydantic models for validation, type safety, and automatic retries with the Instructor library

Build autonomous AI agent teams with CrewAI - a lightweight Python framework for orchestrating role-playing AI agents that collaborate to solve complex tasks through flexible workflows and event-driven automation.

Build multi-agent AI applications using AutoGen's AgentChat high-level API with preset behaviors and team patterns for collaborative agent workflows.

Build stateful, multi-actor AI applications with LangGraph. Create workflows with durable execution, human-in-the-loop patterns, and comprehensive memory management.

Build retrieval-augmented generation (RAG) applications using LlamaIndex core abstractions for LLMs, vector stores, embeddings, and data indexing.

Analyze and integrate the LangChain Python package for building LLM-powered applications and agents

Build LLM applications with data connectors, indexing, and retrieval using LlamaIndex (formerly GPT Index). Connect your LLMs to private data sources via vector stores, structured indices, and advanced query engines.

Install langchain-community package with third-party integrations for LangChain applications

Python client for Together AI's cloud platform - chat completions, image generation, embeddings, reranking, fine-tuning, and more

Official Python library for Groq's REST API with sync/async support, type definitions, and automatic retries for fast LLM inference.

Integrate Fireworks AI platform for building, experimenting, and deploying open-source AI models using their Python client library. Access fast, efficient model deployment capabilities.

Expert guidance for building production-ready APIs with FastAPI framework - from setup to deployment

Use the Mistral AI Python SDK to build chat completions, embeddings, file uploads, agents, batch jobs, and fine-tuning workflows with Mistral AI models.