Showing 4 open source projects for "vector databases"

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    Unstract

    Unstract

    No-code LLM Platform to launch APIs and ETL Pipelines

    ...Unstract supports deploying structured extraction as REST API endpoints or embedding it into data engineering ETL pipelines, which allows it to plug directly into data warehouses, cloud storage, or downstream analytics systems. Its platform works with a broad variety of file types — from PDFs and spreadsheets to images — and includes integrations with databases, cloud storage providers, and vector databases.
    Downloads: 0 This Week
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  • 2
    Haystack

    Haystack

    Haystack is an open source NLP framework to interact with your data

    ...Pick any Transformer model from Hugging Face's Model Hub, experiment, find the one that works. Use Haystack NLP components on top of Elasticsearch, OpenSearch, or plain SQL. Boost search performance with Pinecone, Milvus, FAISS, or Weaviate vector databases, and dense passage retrieval.
    Downloads: 13 This Week
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  • 3
    MemPalace

    MemPalace

    The highest-scoring AI memory system ever benchmarked

    MemPalace is an open-source AI memory system designed to solve one of the most persistent limitations of large language models: the loss of context between sessions. Instead of relying on summarization or selective extraction like most memory tools, it takes a radically different approach by storing conversations in their entirety and making them retrievable through structured organization and semantic search. The system is inspired by the classical “memory palace” mnemonic technique,...
    Downloads: 281 This Week
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  • 4
    Phidata

    Phidata

    Build multi-modal Agents with memory, knowledge, tools and reasoning

    ...It enables users to create domain-specific agents with memory, knowledge, and external tools, enhancing AI capabilities for various tasks. The platform supports a range of large language models and integrates seamlessly with different databases, vector stores, and APIs. Phidata offers pre-configured templates to accelerate development and deployment, allowing users to quickly go from building agents to shipping them into production. It includes features like real-time monitoring, agent evaluations, and performance optimization tools, ensuring the reliability and scalability of AI solutions. ...
    Downloads: 5 This Week
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