Add docs

examples/astradb/README.md

+# DataStax AstraDB Vector Store
+
+Here are two sample scripts which work well with the sample data in the Astra Portal
+
+## Prerequisites
+
+- An Astra DB account. You can [create one here](https://astra.datastax.com/register).
+  - An Astra Vector Database
+- An OpenAI API Key
+
+## Setup
+
+1. Set your env variables:
+
+- `ASTRA_DB_ID`: Your Astra DB vector database id
+- `ASTRA_DB_APPLICATION_TOKEN`: The generated app token for your Astra database
+- `ASTRA_DB_REGION`: Your Astra DB database region
+- `ASTRA_DB_NAMESPACE`: The existing Astra Namespace/Keyspace (if you don't set this it will default to `default_keyspace`)
+- `OPENAI_API_KEY`: Your OpenAI key
+
+2. `cd` Into the `examples` directory
+3. run `pnpm i`
+
+## Load the data
+
+This sample loads the same dataset of movie reviews as the Astra Portal sample dataset. (Feel free to load the data in your the Astra Data Explorer to compare)
+
+run `ts-node astradb/load`
+
+## Use RAG to Query the data
+
+Check out your data in the Astra Data Explorer and change the sample query as you see fit.
+
+run `ts-node astradb/query`

packages/core/src/storage/vectorStore/AstraDBVectorStore.ts

@@ -146,7 +146,6 @@ export class AstraDBVectorStore implements VectorStore {
     const similarities: number[] = [];
 
     await cursor.forEach(async (doc: Record<string, any>) => {
-      // console.log(doc);
       ids.push(doc._id);
       similarities.push(doc.$similarity);
       const node = metadataDictToNode({
@@ -155,12 +154,6 @@ export class AstraDBVectorStore implements VectorStore {
       delete doc.$vector;
       node.setContent(JSON.stringify(doc));
       nodes.push(node);
-      // nodes.push(new Document({
-      //   id_: doc._id,
-      //   text: doc.document,
-      //   metadata: row.metadata,
-      //   embedding: doc.$vector,
-      // }))
     });
 
     return {