embedchain

1
app:
2
  config:
3
    id: 'full-stack-app'
4

5
chunker:
6
  chunk_size: 100
7
  chunk_overlap: 20
8
  length_function: 'len'
9

10
llm:
11
  provider: openai
12
  config:
13
    model: 'gpt-3.5-turbo'
14
    temperature: 0.5
15
    max_tokens: 1000
16
    top_p: 1
17
    stream: false
18
    prompt: |
19
      Use the following pieces of context to answer the query at the end.
20
      If you don't know the answer, just say that you don't know, don't try to make up an answer.
21

22
      $context
23

24
      Query: $query
25

26
      Helpful Answer:
27
    system_prompt: |
28
      Act as William Shakespeare. Answer the following questions in the style of William Shakespeare.
29

30
vectordb:
31
  provider: chroma
32
  config:
33
    collection_name: 'my-collection-name'
34
    dir: db
35
    allow_reset: true
36

37
embedder:
38
  provider: openai
39
  config:
40
    model: 'text-embedding-ada-002'
41