landing_page/qdrant-landing/content/documentation/frameworks/_index.md

title, weight

title	weight
Frameworks	33

Frameworks	Description
Airbyte	Data integration platform specialising in ELT pipelines.
Airflow	Platform designed for developing, scheduling, and monitoring batch-oriented workflows.
Apify	Platform to build web scrapers and automate web browser tasks.
AutoGen	Framework from Microsoft building LLM applications using multiple conversational agents.
Bubble	Development platform for application development with a no-code interface
Canopy	Framework from Pinecone for building RAG applications using LLMs and knowledge bases.
Cheshire Cat	Framework to create personalized AI assistants using custom data.
DLT	Python library to simplify data loading processes between several sources and destinations.
DocArray	Python library for managing data in multi-modal AI applications.
DocsGPT	Tool for ingesting documentation sources and enabling conversations and queries.
DSPy	Framework for algorithmically optimizing LM prompts and weights.
Fifty-One	Toolkit for building high-quality datasets and computer vision models.
Fondant	Framework for developing datasets, sharing reusable operations and data processing trees.
Genkit	Framework to build, deploy, and monitor production-ready AI-powered apps.
Haystack	LLM orchestration framework to build customizable, production-ready LLM applications.
Langchain	Python framework for building context-aware, reasoning applications using LLMs.
Langchain-Go	Go framework for building context-aware, reasoning applications using LLMs.
Langchain4j	Java framework for building context-aware, reasoning applications using LLMs.
LlamaIndex	A data framework for building LLM applications with modular integrations.
Make	Cloud platform to build low-code workflows by integrating various software applications.
MemGPT	System to build LLM agents with long term memory & custom tools
MindsDB	Platform to deploy, serve, and fine-tune models with numerous data source integrations.
N8N	Platform for node-based, low-code workflow automation.
NiFi	Data ingestion platform to manage data transfer between different sources and destination systems.
OpenLIT	Platform for OpenTelemetry-native Observability & Evals for LLMs and Vector Databases.
OpenLLMetry	Set of OpenTelemetry extensions to add Observability for your LLM application.
Pandas-AI	Python library to query/visualize your data (CSV, XLSX, PostgreSQL, etc.) in natural language
Pipedream	Platform for connecting apps and developing event-driven automation.
Portable.io	Cloud platform for developing and deploying ELT transformations.
PrivateGPT	Tool to ask questions about your documents using local LLMs emphasising privacy.
Rivet	A visual programming environment for building AI agents with LLMs.
Semantic Router	Python library to build a decision-making layer for AI applications using vector search.
Spark	A unified analytics engine for large-scale data processing.
Spring AI	Java AI framework for building with Spring design principles such as portability and modular design.
Testcontainers	Set of frameworks for running containerized dependencies in tests.
txtai	Python library for semantic search, LLM orchestration and language model workflows.
Unstructured	Python library with components for ingesting and pre-processing data from numerous sources.
Vanna AI	Python RAG framework for SQL generation and querying.