mcp-google-sheets

{ "Manage vector databases, store embeddings, and perform similarity searches": "Manage vector databases, store embeddings, and perform similarity searches", "API Key": "API Key", "Enter your Pinecone API key. You can create a new API key in the Pinecone console for your target project.": "Enter your Pinecone API key. You can create a new API key in the Pinecone console for your target project.", "Configure your Pinecone API key": "Configure your Pinecone API key", "Create Index": "Create Index", "Upsert Vector": "Upsert Vector", "Update a Vector": "Update a Vector", "Get a Vector": "Get a Vector", "Delete a Vector": "Delete a Vector", "Search Vectors": "Search Vectors", "Search Index": "Search Index", "Creates a new Pinecone index with custom settings.": "Creates a new Pinecone index with custom settings.", "Upsert vectors into a namespace. Overwrites existing vectors with the same ID.": "Upsert vectors into a namespace. Overwrites existing vectors with the same ID.", "Updates a vector in a namespace. Overwrites existing values and metadata.": "Updates a vector in a namespace. Overwrites existing values and metadata.", "Look up and return vectors by ID from a namespace.": "Look up and return vectors by ID from a namespace.", "Delete vectors by ID from a namespace.": "Delete vectors by ID from a namespace.", "Search a namespace using a query vector to find similar records.": "Search a namespace using a query vector to find similar records.", "Search indexes by name or list all indexes in your project.": "Search indexes by name or list all indexes in your project.", "Index Name": "Index Name", "Dimension": "Dimension", "Index Type": "Index Type", "Cloud Provider": "Cloud Provider", "Region": "Region", "Environment": "Environment", "Pod Type": "Pod Type", "Replicas": "Replicas", "Shards": "Shards", "Pods": "Pods", "Metric": "Metric", "Vector Type": "Vector Type", "Deletion Protection": "Deletion Protection", "Wait Until Ready": "Wait Until Ready", "Suppress Conflicts": "Suppress Conflicts", "Tags": "Tags", "Source Collection": "Source Collection", "Index Host": "Index Host", "Namespace": "Namespace", "Input Method": "Input Method", "Vector ID": "Vector ID", "Vector Values": "Vector Values", "Vectors": "Vectors", "Sparse Indices": "Sparse Indices", "Sparse Values": "Sparse Values", "Metadata": "Metadata", "Vector IDs": "Vector IDs", "Delete Mode": "Delete Mode", "Confirm Delete All": "Confirm Delete All", "Metadata Filter": "Metadata Filter", "Top K": "Top K", "Query Method": "Query Method", "Query Vector": "Query Vector", "Query Vector ID": "Query Vector ID", "Include Values": "Include Values", "Include Metadata": "Include Metadata", "Search Mode": "Search Mode", "Name Filter": "Name Filter", "You must pass a non-empty string for name in order to create an index": "You must pass a non-empty string for name in order to create an index", "You must pass a positive integer for dimension in order to create an index. For dense indexes, this is required.": "You must pass a positive integer for dimension in order to create an index. For dense indexes, this is required.", "Choose between serverless or pod-based index deployment": "Choose between serverless or pod-based index deployment", "The public cloud where you would like your index hosted (for serverless)": "The public cloud where you would like your index hosted (for serverless)", "The region where you would like your index to be created (for serverless)": "The region where you would like your index to be created (for serverless)", "The environment where the index is hosted (for pod-based indexes)": "The environment where the index is hosted (for pod-based indexes)", "The type of pod to use": "The type of pod to use", "The number of replicas. Replicas duplicate your index for higher availability and throughput.": "The number of replicas. Replicas duplicate your index for higher availability and throughput.", "The number of shards. Shards split your data across multiple pods.": "The number of shards. Shards split your data across multiple pods.", "The number of pods to be used in the index. This should be equal to shards x replicas.": "The number of pods to be used in the index. This should be equal to shards x replicas.", "The distance metric to use. Defaults to cosine for dense indexes, dotproduct for sparse indexes.": "The distance metric to use. Defaults to cosine for dense indexes, dotproduct for sparse indexes.", "The type of vectors to store. Dense is default for most use cases.": "The type of vectors to store. Dense is default for most use cases.", "Enable deletion protection for the index": "Enable deletion protection for the index", "Wait until the index is ready to receive data before completing": "Wait until the index is ready to receive data before completing", "Do not throw if you attempt to create an index that already exists": "Do not throw if you attempt to create an index that already exists", "Optional tags for the index (e.g., {\"team\": \"data-science\"})": "Optional tags for the index (e.g., {\"team\": \"data-science\"})", "The name of the collection to be used as the source for the index": "The name of the collection to be used as the source for the index", "The name of the index to upsert vectors into": "The name of the index to upsert vectors into", "The unique host for the index (optional, see Pinecone docs for targeting an index)": "The unique host for the index (optional, see Pinecone docs for targeting an index)", "The namespace where you upsert vectors (e.g., \"example-namespace\")": "The namespace where you upsert vectors (e.g., \"example-namespace\")", "Choose how to provide vector data": "Choose how to provide vector data", "The unique identifier for the vector (e.g., \"vec1\")": "The unique identifier for the vector (e.g., \"vec1\")", "Array of numbers representing the vector (e.g., [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1])": "Array of numbers representing the vector (e.g., [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1])", "Array of vectors to upsert (for multiple vectors input)": "Array of vectors to upsert (for multiple vectors input)", "The name of the index containing the vector to update": "The name of the index containing the vector to update", "Vector's unique id (required, string length: 1 - 512)": "Vector's unique id (required, string length: 1 - 512)", "The namespace containing the vector to update (e.g., \"example-namespace\")": "The namespace containing the vector to update (e.g., \"example-namespace\")", "Vector data to update (e.g., [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])": "Vector data to update (e.g., [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])", "Array of indices for sparse values (optional)": "Array of indices for sparse values (optional)", "Array of sparse values corresponding to indices (must be same length as indices)": "Array of sparse values corresponding to indices (must be same length as indices)", "Key-value pairs to set for the vector": "Key-value pairs to set for the vector", "The name of the index to fetch vectors from": "The name of the index to fetch vectors from", "The vector IDs to fetch. Does not accept values containing spaces (e.g., [\"id-1\", \"id-2\"])": "The vector IDs to fetch. Does not accept values containing spaces (e.g., [\"id-1\", \"id-2\"])", "The namespace containing the vectors to fetch (e.g., \"example-namespace\")": "The namespace containing the vectors to fetch (e.g., \"example-namespace\")", "The name of the index to delete vectors from": "The name of the index to delete vectors from", "The namespace to delete vectors from (e.g., \"example-namespace\")": "The namespace to delete vectors from (e.g., \"example-namespace\")", "Choose how to delete vectors": "Choose how to delete vectors", "The ID of the vector to delete (for single vector deletion)": "The ID of the vector to delete (for single vector deletion)", "Array of vector IDs to delete (e.g., [\"id-2\", \"id-3\"])": "Array of vector IDs to delete (e.g., [\"id-2\", \"id-3\"])", "Check this box to confirm you want to delete ALL vectors in the namespace": "Check this box to confirm you want to delete ALL vectors in the namespace", "Metadata filter expression to select vectors to delete. Examples:\n• {\"genre\": {\"$eq\": \"documentary\"}}\n• {\"year\": {\"$gt\": 2019}}\n• {\"$and\": [{\"genre\": \"comedy\"}, {\"year\": {\"$gte\": 2020}}]}": "Metadata filter expression to select vectors to delete. Examples:\n• {\"genre\": {\"$eq\": \"documentary\"}}\n• {\"year\": {\"$gt\": 2019}}\n• {\"$and\": [{\"genre\": \"comedy\"}, {\"year\": {\"$gte\": 2020}}]}", "The name of the index to search in": "The name of the index to search in", "The number of results to return for each query (range: 1-10000)": "The number of results to return for each query (range: 1-10000)", "The namespace to query (e.g., \"example-namespace\")": "The namespace to query (e.g., \"example-namespace\")", "Choose how to provide the query": "Choose how to provide the query", "The query vector. This should be the same length as the dimension of the index (e.g., [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])": "The query vector. This should be the same length as the dimension of the index (e.g., [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])", "The unique ID of the vector to be used as a query vector (max length: 512)": "The unique ID of the vector to be used as a query vector (max length: 512)", "Array of indices for sparse vector data (optional)": "Array of indices for sparse vector data (optional)", "Filter to apply using vector metadata. Examples:\n• {\"genre\": {\"$eq\": \"documentary\"}}\n• {\"year\": {\"$gt\": 2019}}\n• {\"$and\": [{\"genre\": {\"$in\": [\"comedy\", \"drama\"]}}, {\"year\": {\"$gte\": 2020}}]}": "Filter to apply using vector metadata. Examples:\n• {\"genre\": {\"$eq\": \"documentary\"}}\n• {\"year\": {\"$gt\": 2019}}\n• {\"$and\": [{\"genre\": {\"$in\": [\"comedy\", \"drama\"]}}, {\"year\": {\"$gte\": 2020}}]}", "Whether vector values are included in the response": "Whether vector values are included in the response", "Whether metadata is included in the response": "Whether metadata is included in the response", "Choose how to search for indexes": "Choose how to search for indexes", "The name of the specific index to search for (when using Find Specific Index mode)": "The name of the specific index to search for (when using Find Specific Index mode)", "Filter indexes by name (partial match, case-insensitive)": "Filter indexes by name (partial match, case-insensitive)", "Serverless": "Serverless", "Pod-based": "Pod-based", "AWS": "AWS", "GCP": "GCP", "Azure": "Azure", "s1.x1": "s1.x1", "s1.x2": "s1.x2", "s1.x4": "s1.x4", "s1.x8": "s1.x8", "p1.x1": "p1.x1", "p1.x2": "p1.x2", "p1.x4": "p1.x4", "p1.x8": "p1.x8", "p2.x1": "p2.x1", "p2.x2": "p2.x2", "p2.x4": "p2.x4", "p2.x8": "p2.x8", "Cosine": "Cosine", "Euclidean": "Euclidean", "Dot Product": "Dot Product", "Dense": "Dense", "Sparse": "Sparse", "Single Vector": "Single Vector", "Multiple Vectors (JSON)": "Multiple Vectors (JSON)", "Delete One Vector": "Delete One Vector", "Delete Multiple Vectors": "Delete Multiple Vectors", "Delete All Vectors": "Delete All Vectors", "Delete by Filter": "Delete by Filter", "Query by ID": "Query by ID", "List All Indexes": "List All Indexes", "Find Specific Index": "Find Specific Index" }