| AutoGen | Framework from Microsoft building LLM applications using multiple conversational agents. |
| Canopy | Framework from Pinecone for building RAG applications using LLMs and knowledge bases. |
| Cheshire Cat | Framework to create personalized AI assistants using custom data. |
| DocArray | Python library for managing data in multi-modal AI applications. |
| DSPy | Framework for algorithmically optimizing LM prompts and weights. |
| Fifty-One | Toolkit for building high-quality datasets and computer vision models. |
| 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. |
| MemGPT | System to build LLM agents with long term memory & custom tools |
| Pandas-AI | Python library to query/visualize your data (CSV, XLSX, PostgreSQL, etc.) in natural language |
| Semantic Router | Python library to build a decision-making layer for AI applications using vector search. |
| 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. |
| Vanna AI | Python RAG framework for SQL generation and querying. |