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Another batch of renaming Record to Data

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ogabrielluiz 2024-06-12 18:18:03 -03:00
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docs/docs/components/vector-stores.mdx
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@ -4,11 +4,11 @@ import Admonition from "@theme/Admonition";
### Astra DB
The `Astra DB` initializes a vector store using Astra DB from records. It creates Astra DB-based vector indexes to efficiently store and retrieve documents.
The `Astra DB` initializes a vector store using Astra DB from Data. It creates Astra DB-based vector indexes to efficiently store and retrieve documents.
**Parameters:**
- **Input:** Documents or records for input.
- **Input:** Documents or Data for input.
- **Embedding:** Embedding model Astra DB uses.
- **Collection Name:** Name of the Astra DB collection.
- **Token:** Authentication token for Astra DB.
@ -99,12 +99,12 @@ For detailed documentation and integration guides, please refer to the [Chroma C
### Couchbase
`Couchbase` builds a Couchbase vector store from records, streamlining the storage and retrieval of documents.
`Couchbase` builds a Couchbase vector store from Data, streamlining the storage and retrieval of documents.
**Parameters:**
- **Embedding:** Model used by Couchbase.
- **Input:** Documents or records.
- **Input:** Documents or Data.
- **Couchbase Cluster Connection String:** Cluster Connection string.
- **Couchbase Cluster Username:** Cluster Username.
- **Couchbase Cluster Password:** Cluster Password.
@ -165,12 +165,12 @@ For more details, see the [FAISS Component Documentation](https://faiss.ai/index
### MongoDB Atlas
`MongoDBAtlas` builds a MongoDB Atlas-based vector store from records, streamlining the storage and retrieval of documents.
`MongoDBAtlas` builds a MongoDB Atlas-based vector store from Data, streamlining the storage and retrieval of documents.
**Parameters:**
- **Embedding:** Model used by MongoDB Atlas.
- **Input:** Documents or records.
- **Input:** Documents or Data.
- **Collection Name:** Collection identifier in MongoDB Atlas.
- **Database Name:** Database identifier.
- **Index Name:** Index identifier.
@ -235,11 +235,11 @@ For more details, see the [PGVector Component Documentation](https://python.lang
### Pinecone
`Pinecone` constructs a Pinecone wrapper from records, setting up Pinecone-based vector indexes for document storage and retrieval.
`Pinecone` constructs a Pinecone wrapper from Data, setting up Pinecone-based vector indexes for document storage and retrieval.
**Parameters:**
- **Input:** Documents or records.
- **Input:** Documents or Data.
- **Embedding:** Model used.
- **Index Name:** Index identifier.
- **Namespace:** Namespace used.
@ -278,7 +278,7 @@ For more details, see the [PGVector Component Documentation](https://python.lang
**Parameters:**
- **Input:** Documents or records.
- **Input:** Documents or Data.
- **Embedding:** Model used.
- **API Key:** Qdrant API key.
- **Collection Name:** Collection identifier.
@ -345,7 +345,7 @@ For detailed documentation, refer to the [Redis Documentation](https://python.la
**Parameters:**
- **Input:** Documents or records.
- **Input:** Documents or data.
- **Embedding:** Model used.
- **Query Name:** Optional query name.
- **Search Kwargs:** Advanced search parameters.