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LangChain
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Build LLM applications with memory, agents, and chat models using LanceDB as a vector store |
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LlamaIndex
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Create data-aware LLM applications with structured data retrieval and RAG pipelines |
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PromptTools
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Evaluate and optimize LLM prompts with LanceDB for storing and retrieving evaluation results |
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Pydantic
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Define structured data models and schemas for LanceDB tables with type safety |
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GenKit
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Build AI applications with Google’s GenKit framework using LanceDB for vector storage |
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Meta Llama Synthetic Data Kit
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Generate high-quality synthetic datasets for fine-tuning large language models (LLMs) |