Meta-Chunking（Text LLM slices）

POST

/302/kb/knowledge_base/text_meta_chunking

Use LLM's text comprehension to segment content, ensuring the slices maintain coherent context
Open source link：https://github.com/IAAR-Shanghai/Meta-Chunking

Price List： https://302.ai/pricing_api/

Request

Authorization

Provide your bearer token in the

Authorization

header when making requests to protected resources.

Example:

Authorization: Bearer ********************

Header Params

Authorization

string

optional

Example:

Bearer {{YOUR_API_KEY}}

Body Params multipart/form-data

text

string

required

model_name

string

optional

LLM name for meta chunking

Example:

gpt-4o-mini

language

string

optional

File language, options are zh/en, default is zh

Example:

dynamic_merge

string

optional

Whether to merge dynamically, options are yes/no, default is no

Example:

Request samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'https://api.302.ai/302/kb/knowledge_base/text_meta_chunking' \
--header 'Authorization: Bearer sk-jls4AaVBGoe1GwZD64qZA1qyKTN1MPHa4NmvH1cT68z7K1Zz' \
--form 'text=""' \
--form 'model_name="gpt-4o-mini"' \
--form 'language="zh"' \
--form 'dynamic_merge="no"'

Responses

🟢200成功

application/json

Body

object {0}

Example

{}

Modified at 2024-12-17 01:52:57

Info

Meta-Chunking（File LLM slices）