https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/Recent content in Vector Lookup & Databases onHugo -- gohugo.ioSun, 11 Dec 2022 19:37:55 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/milvus-connection/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/milvus-connection/Milvus is a cloud-native vector database, simplifying long-term memory provision for high-performance AI applications with its optimized storage, querying, and indexing capabilities. This topic describes how to authenticate to Milvus and configure any necessary connection properties in the Milvus connection connector. Connection Configuration # Each connection property available in the Milvus connector is explained below. Component Type # Shows all the available connections. Select Milvus from the drop-down list. Connection Name # The name of the connection to be created should be provided.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/milvus-lookup-processor/Sun, 11 Dec 2022 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/milvus-lookup-processor/The Milvus Lookup Processor in Gathr is your tool for extracting valuable insights from your data. It allows you to explore and analyze information by performing lookups based on vectors or IDs. This topic helps you configure the Milvus Lookup processor. Processor Configuration # Configure the processor parameters as explained below. Connection Name # A connection name can be selected from the list if you have created and saved connection details for OpenAI earlier.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/milvus-etl-target/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/milvus-etl-target/Milvus ETL Target allows you to emit and manage data from your Gathr application to Milvus. Target Configuration # Configure the data emitter parameters as explained below. Connection Name # A connection name can be selected from the list if you have created and saved connection details for OpenAI earlier. Or create one as explained in the topic - Milvus Connection → Username # Provide the username with access to Milvus.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/pinecone-connection/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/pinecone-connection/Pinecone is a cloud-native vector database, simplifying long-term memory provision for high-performance AI applications with its optimized storage, querying, and indexing capabilities. This topic describes how to authenticate to Pinecone and configure any necessary connection properties in the Pinecone connection connector. Connection Configuration # Each connection property available in the Pinecone connector is explained below. Connection Name # The name of the connection to be created should be provided. This is the name that will display on the list of available connections.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/pinecone-lookup-processor/Sun, 11 Dec 2022 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/pinecone-lookup-processor/The Pinecone Lookup Processor in Gathr is your tool for extracting valuable insights from your data. It allows you to explore and analyze information by performing lookups based on vectors or IDs. This topic helps you configure the processor effortlessly. Processor Configuration # Configure the processor parameters as explained below. Connection Name # A connection name can be selected from the list if you have created and saved connection details for OpenAI earlier.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/pinecone-etl-target/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/pinecone-etl-target/Pinecone ETL Target allows you to emit and manage data from your Gathr application to Pinecone, leveraging the simplicity and performance of Pinecone’s vector database for AI applications. Target Configuration # Configure the data emitter parameters as explained below. Connection Name # Connections are the service identifiers. A connection name can be selected from the list if you have created and saved connection details for Pinecone earlier. Or create one as explained in the topic - Pinecone Connection →https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/redis-vector-connection/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/redis-vector-connection/Redis is an open-source, high-performance, and in-memory data structure store, commonly used for caching. This topic describes how to authenticate to Redis and configure any necessary connection properties in the Redis connection connector. Connection Configuration # Each connection property available in the Redis connector is explained below. Connection Name # The name of the connection to be created should be provided. This is the name that will display on the list of available connections.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/redis-vector-lookup/Sun, 11 Dec 2022 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/redis-vector-lookup/Redis Vector Lookup processor allows you to find the similar items from vector data set for the given query vector. It uses vector embedding data. Distance between two vectors represents similarity between two vectors. For calculating distance following three methods are supported: Euclidean Distance, Cosine Distance and Dot Product. Redis Vector Lookup Configuration # Select the processor and join it with the pipeline on the canvas. Click on it to configure.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/redis-vector-target/Sun, 11 Dec 2022 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/gen-ai-in-gathr/vector-lookup-and-databases/redis-vector-target/Redis Vector Emitter allows you to store the vectorized data such as text passages, images, and videos. Vectorizing means to map unstructured data to a flat sequence of numbers. Redis Vector Emitter Configuration # Select Redis Vector emitter from the components list, add it to your pipeline and click to configure. A vector database requires data in vector form. Please ensure that the data being passed to the vector database is in the correct vector format.