|
5 | 5 | import os |
6 | 6 | from dotenv import load_dotenv |
7 | 7 |
|
8 | | -from langchain_openai import OpenAIEmbeddings |
9 | | -from langchain_openai import ChatOpenAI |
| 8 | +from langchain_anthropic import ChatAnthropic |
10 | 9 | from scrapegraphai.graphs import BaseGraph |
11 | | -from scrapegraphai.nodes import FetchNode, ParseNode, RAGNode, GenerateAnswerNode, RobotsNode |
| 10 | +from scrapegraphai.nodes import FetchNode, ParseNode, GenerateAnswerNode, RobotsNode |
12 | 11 | load_dotenv() |
13 | 12 |
|
14 | 13 | # ************************************************ |
|
19 | 18 | "llm": { |
20 | 19 | "api_key": os.getenv("ANTHROPIC_API_KEY"), |
21 | 20 | "model": "claude-3-haiku-20240307", |
22 | | - "max_tokens": 4000 |
23 | | - }, |
| 21 | + }, |
24 | 22 | } |
25 | 23 |
|
26 | 24 | # ************************************************ |
27 | 25 | # Define the graph nodes |
28 | 26 | # ************************************************ |
29 | 27 |
|
30 | | -llm_model = OpenAI(graph_config["llm"]) |
31 | | -embedder = OpenAIEmbeddings(api_key=llm_model.openai_api_key) |
| 28 | +llm_model = ChatAnthropic(graph_config["llm"]) |
32 | 29 |
|
33 | 30 | # define the nodes for the graph |
34 | 31 | robot_node = RobotsNode( |
|
57 | 54 | "verbose": True, |
58 | 55 | } |
59 | 56 | ) |
60 | | -rag_node = RAGNode( |
61 | | - input="user_prompt & (parsed_doc | doc)", |
62 | | - output=["relevant_chunks"], |
63 | | - node_config={ |
64 | | - "llm_model": llm_model, |
65 | | - "embedder_model": embedder, |
66 | | - "verbose": True, |
67 | | - } |
68 | | -) |
69 | 57 | generate_answer_node = GenerateAnswerNode( |
70 | 58 | input="user_prompt & (relevant_chunks | parsed_doc | doc)", |
71 | 59 | output=["answer"], |
|
84 | 72 | robot_node, |
85 | 73 | fetch_node, |
86 | 74 | parse_node, |
87 | | - rag_node, |
88 | 75 | generate_answer_node, |
89 | 76 | ], |
90 | 77 | edges=[ |
91 | 78 | (robot_node, fetch_node), |
92 | 79 | (fetch_node, parse_node), |
93 | | - (parse_node, rag_node), |
94 | | - (rag_node, generate_answer_node) |
| 80 | + (parse_node, generate_answer_node) |
95 | 81 | ], |
96 | 82 | entry_point=robot_node |
97 | 83 | ) |
|
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