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  2. Milvus (vector database) - Wikipedia

    en.wikipedia.org/wiki/Milvus_(vector_database)

    Milvus is a distributed vector database developed by Zilliz. It is available as both open-source software and a cloud service. Milvus is an open-source project under LF AI & Data Foundation [2] distributed under the Apache License 2.0.

  3. LangChain - Wikipedia

    en.wikipedia.org/wiki/LangChain

    LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization , chatbots , and code analysis .

  4. DataStax - Wikipedia

    en.wikipedia.org/wiki/DataStax

    On September 13, 2023, DataStax launched the LangStream open source project, which works with Astra DB and supports vector databases including Milvus and Pinecone. LangStream enables developers to better work with streaming data sources, using Apache Kafka technology and generative AI to help build event-driven architectures.

  5. Pinecone vector database can now handle hybrid keyword ... - AOL

    www.aol.com/news/pinecone-vector-database-now...

    When Pinecone announced a vector database at the beginning of last year, it was building something that was specifically designed for machine learning and aimed at data scientists. It turns out ...

  6. Vector database - Wikipedia

    en.wikipedia.org/wiki/Vector_database

    A vector database, vector store or vector search engine is a database that can store vectors (fixed-length lists of numbers) along with other data items. Vector databases typically implement one or more Approximate Nearest Neighbor algorithms, [1] [2] [3] so that one can search the database with a query vector to retrieve the closest matching database records.

  7. Retrieval-augmented generation - Wikipedia

    en.wikipedia.org/wiki/Retrieval-augmented_generation

    Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.

  8. Distributional–relational database - Wikipedia

    en.wikipedia.org/wiki/Distributional–relational...

    Distributional–relational models were first formalized, [3] [4] as a mechanism to cope with the vocabulary/semantic gap between users and the schema behind the data. In this scenario, distributional semantic relatedness measures, combined with semantic pivoting heuristics can support the approximation between user queries (expressed in their own vocabulary), and data (expressed in the ...

  9. Category:Free software programmed in C - Wikipedia

    en.wikipedia.org/wiki/Category:Free_software...

    G. Galeon; Ganglia (software) GD Graphics Library; Geany; Gedit; Geeqie; Genius (mathematics software) Gentoo (file manager) Gerris (software) Gforth; GGPO; GiFT