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90466908a8
<!-- Clearly explain the need for these changes: -->
we met some reality when merging into the docs site but this fixes it
### Changes 🏗️
updates paths, adds some guides
<!-- Concisely describe all of the changes made in this pull request:
-->
update to match reality
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
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- [x] deploy it and validate
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Aligns block integrations documentation with GitBook.
>
> - Changes generator default output to
`docs/integrations/block-integrations` and writes overview `README.md`
and `SUMMARY.md` at `docs/integrations/`
> - Adds GitBook frontmatter and hint syntax to overview; prefixes block
links with `block-integrations/`
> - Introduces `generate_summary_md` to build GitBook navigation
(including optional `guides/`)
> - Preserves per-block manual sections and adds optional `extras` +
file-level `additional_content`
> - Updates sync checker to validate parent `README.md` and `SUMMARY.md`
> - Rewrites `docs/integrations/README.md` with GitBook frontmatter and
updated links; adds `docs/integrations/SUMMARY.md`
> - Adds new guides: `guides/llm-providers.md`,
`guides/voice-providers.md`
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
fdb7ff8111. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: bobby.gaffin <bobby.gaffin@agpt.co>
1.4 KiB
1.4 KiB
Jina Chunking
Blocks for splitting text into semantic chunks using Jina AI.
Jina Chunking
What it is
Chunks texts using Jina AI's segmentation service
How it works
This block uses Jina AI's segmentation service to split texts into semantically meaningful chunks. Unlike simple splitting by character count, Jina's chunking preserves semantic coherence, making it ideal for RAG applications.
Configure maximum chunk length and optionally return token information for each chunk.
Inputs
| Input | Description | Type | Required |
|---|---|---|---|
| texts | List of texts to chunk | List[Any] | Yes |
| max_chunk_length | Maximum length of each chunk | int | No |
| return_tokens | Whether to return token information | bool | No |
Outputs
| Output | Description | Type |
|---|---|---|
| error | Error message if the operation failed | str |
| chunks | List of chunked texts | List[Any] |
| tokens | List of token information for each chunk | List[Any] |
Possible use case
RAG Preprocessing: Chunk documents for retrieval-augmented generation systems.
Embedding Preparation: Split long texts into optimal chunks for embedding generation.
Document Processing: Break down large documents for analysis or storage in vector databases.