Add notebook

1 files changed, 247 insertions, 0 deletions

diff --git a/notebooks/testing.ipynb b/notebooks/testing.ipynb
new file mode 100644
index 0000000..36f3c16
--- /dev/null
+++ b/notebooks/testing.ipynb
@@ -0,0 +1,247 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c1f56ae3-a056-4b31-bcab-27c2c97c00f1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "from rag.parser.pdf import parser"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6b5cb12e-df7e-4532-b78b-216e11ed6161",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "path = Path(\"/home/aktersnurra/projects/library/quant/math/a-signal-processing-perspective-on-financial-engineering.pdf\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8e378ed2-e346-4360-8a8e-265f0f1d173d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f1a57be8-21a2-48d3-b99f-d1bbf7b8780a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chunks = parser(path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b848627e-1e30-492a-ada6-a899112cd515",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chunks[32]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5f01d39c-3310-4d6d-8b7b-f253975b5e37",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "type(chunks[32])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "49bf6768-1350-42ee-8526-2e6bee2dd7bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from rag.db.vector import VectorStore"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "98516091-7bc5-43c2-9aa7-967e63b795f1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from rag.llms.encoder import Encoder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "14408e20-3dec-40b4-9dda-3397beb0c453",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "encoder = Encoder()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e94993c5-6b19-4bac-b7e8-c26a5200a626",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "embs = encoder.encode([chunks[33].page_content])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b845bb31-0909-42cb-9957-9a8b3bb0b5c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "embs[0].shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aa279b1a-465e-4820-ab56-b25fc513c0a1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vec_db = VectorStore()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1dc655de-2359-42ce-b705-76ec06c5f72f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vec_db.add(embs[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "117d3416-e79f-436f-a33e-ffb45b972b72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "q = \"the variance of the portfolio\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3a6ef474-678c-4525-8dcb-ece67aa9c7ea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "qe = encoder.query(q)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4c8a16ba-6025-4a6e-95c2-bbba7a9a5de5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s, i = vec_db.search(qe, 1)\n",
+    "s,i"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2d5f4601-82b0-47b7-8c79-938435591b59",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "embs[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e7a65b4d-7269-44bf-9b29-9ef0ee2b2052",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "qe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "016bae35-e22b-4e13-9c1d-6fcd09a8ca9f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import hashlib"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "66f7fd80-a970-4ad9-b5c9-02ab2e39855b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "document = [chunk.page_content for chunk in chunks]\n",
+    "text = str.encode(\"\".join(document))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d385588-cdd5-4f8c-beae-31685a9f4c63",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "type(hashlib.sha256(text).hexdigest())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1c90dd20-c640-48b5-88c0-4ba93b60c5e6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}