- **Description:** This PR updates the internal documentation link for
the RAG tutorials to reflect the updated path. Previously, the link
pointed to the root `/docs/tutorials/`, which was generic. It now
correctly routes to the RAG-specific tutorial page.
- **Issue:** N/A
- **Dependencies:** None
- **Twitter handle:** N/A
> × No solution found when resolving dependencies:
╰─▶ Because only langchain-neo4j==0.5.0 is available and
langchain-neo4j==0.5.0 depends on neo4j-graphrag>=1.9.0, we can conclude
that all versions of langchain-neo4j depend on neo4j-graphrag>=1.9.0.
And because only neo4j-graphrag<=1.9.0 is available and
neo4j-graphrag==1.9.0 depends on pypdf>=5.1.0,<6.0.0, we can conclude
that all versions of langchain-neo4j depend on pypdf>=5.1.0,<6.0.0.
And because langchain-upstage==0.6.0 depends on pypdf>=4.2.0,<5.0.0
and only langchain-upstage==0.6.0 is available, we can conclude that
all versions of langchain-neo4j and all versions of langchain-upstage
are incompatible.
And because you require langchain-neo4j and langchain-upstage, we can
conclude that your requirements are unsatisfiable.
---------
Co-authored-by: Mason Daugherty <mason@langchain.dev>
**TL;DR much of the provided `Makefile` targets were broken, and any
time I wanted to preview changes locally I either had to refer to a
command Chester gave me or try waiting on a Vercel preview deployment.
With this PR, everything should behave like normal.**
Significant updates to the `Makefile` and documentation files, focusing
on improving usability, adding clear messaging, and fixing/enhancing
documentation workflows.
### Updates to `Makefile`:
#### Enhanced build and cleaning processes:
- Added informative messages (e.g., "📚 Building LangChain
documentation...") to makefile targets like `docs_build`, `docs_clean`,
and `api_docs_build` for better user feedback during execution.
- Introduced a `clean-cache` target to the `docs` `Makefile` to clear
cached dependencies and ensure clean builds.
#### Improved dependency handling:
- Modified `install-py-deps` to create a `.venv/deps_installed` marker,
preventing redundant/duplicate dependency installations and improving
efficiency.
#### Streamlined file generation and infrastructure setup:
- Added caching for the LangServe README download and parallelized
feature table generation
- Added user-friendly completion messages for targets like `copy-infra`
and `render`.
#### Documentation server updates:
- Enhanced the `start` target with messages indicating server start and
URL for local documentation viewing.
---
### Documentation Improvements:
#### Content clarity and consistency:
- Standardized section titles for consistency across documentation
files.
[[1]](diffhunk://#diff-9b1a85ea8a9dcf79f58246c88692cd7a36316665d7e05a69141cfdc50794c82aL1-R1)
[[2]](diffhunk://#diff-944008ad3a79d8a312183618401fcfa71da0e69c75803eff09b779fc8e03183dL1-R1)
- Refined phrasing and formatting in sections like "Dependency
management" and "Formatting and linting" for better readability.
[[1]](diffhunk://#diff-2069d4f956ab606ae6d51b191439283798adaf3a6648542c409d258131617059L6-R6)
[[2]](diffhunk://#diff-2069d4f956ab606ae6d51b191439283798adaf3a6648542c409d258131617059L84-R82)
#### Enhanced workflows:
- Updated instructions for building and viewing documentation locally,
including tips for specifying server ports and handling API reference
previews.
[[1]](diffhunk://#diff-048deddcfd44b242e5b23aed9f2e9ec73afc672244ce14df2a0a316d95840c87L60-R94)
[[2]](diffhunk://#diff-048deddcfd44b242e5b23aed9f2e9ec73afc672244ce14df2a0a316d95840c87L82-R126)
- Expanded guidance on cleaning documentation artifacts and using
linting tools effectively.
[[1]](diffhunk://#diff-048deddcfd44b242e5b23aed9f2e9ec73afc672244ce14df2a0a316d95840c87L82-R126)
[[2]](diffhunk://#diff-048deddcfd44b242e5b23aed9f2e9ec73afc672244ce14df2a0a316d95840c87L107-R142)
#### API reference documentation:
- Improved instructions for generating and formatting in-code
documentation, highlighting best practices for docstring writing.
[[1]](diffhunk://#diff-048deddcfd44b242e5b23aed9f2e9ec73afc672244ce14df2a0a316d95840c87L107-R142)
[[2]](diffhunk://#diff-048deddcfd44b242e5b23aed9f2e9ec73afc672244ce14df2a0a316d95840c87L144-R186)
---
### Minor Changes:
- Added support for a new package name (`langchain_v1`) in the API
documentation generation script.
- Fixed minor capitalization and formatting issues in documentation
files.
[[1]](diffhunk://#diff-2069d4f956ab606ae6d51b191439283798adaf3a6648542c409d258131617059L40-R40)
[[2]](diffhunk://#diff-2069d4f956ab606ae6d51b191439283798adaf3a6648542c409d258131617059L166-R160)
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Thank you for contributing to LangChain!
- **Adding documentation for PGVectorStore**:
docs: Adding documentation for the new PGVectorStore as a part of
langchain-postgres
- **Add docs**: The notebook for PGVectorStore is now added to the
directory `docs/docs/integrations`.
As a part of this change, we've also updated the VectorStore features
table and VectorStoreTabs
---------
Co-authored-by: Chester Curme <chester.curme@gmail.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
* Adding support for more Chroma client options (`HttpClient` and
`CloundClient`). This includes adding arguments necessary for
instantiating these clients.
* Adding support for Chroma's new persisted collection configuration (we
moved index configuration into this new construct).
* Delegate `Settings` configuration to Chroma's client constructors.
## **Description:**
This PR updates the internal documentation link for the RAG tutorials to
reflect the updated path. Previously, the link pointed to the root
`/docs/tutorials/`, which was generic. It now correctly routes to the
RAG-specific tutorial page for the following text-embedding models.
1. DatabricksEmbeddings
2. IBM watsonx.ai
3. OpenAIEmbeddings
4. NomicEmbeddings
5. CohereEmbeddings
6. MistralAIEmbeddings
7. FireworksEmbeddings
8. TogetherEmbeddings
9. LindormAIEmbeddings
10. ModelScopeEmbeddings
11. ClovaXEmbeddings
12. NetmindEmbeddings
13. SambaNovaCloudEmbeddings
14. SambaStudioEmbeddings
15. ZhipuAIEmbeddings
## **Issue:** N/A
## **Dependencies:** None
## **Twitter handle:** N/A
The vectorstore feature table in the documentation was showing incorrect
information for the "IDs in add Documents" capability. Most vectorstores
were marked as ❌ (not supported) when they actually support extracting
IDs from documents.
## Problem
The issue was an inconsistency between two sources of truth:
- **JavaScript feature table** (`docs/src/theme/FeatureTables.js`):
Hardcoded `idsInAddDocuments: false` for most vectorstores
- **Python script** (`docs/scripts/vectorstore_feat_table.py`):
Correctly showed `"IDs in add Documents": True` for most vectorstores
## Root Cause
All vectorstores inherit the base `VectorStore.add_documents()` method
which automatically extracts document IDs:
```python
# From libs/core/langchain_core/vectorstores/base.py lines 277-284
if "ids" not in kwargs:
ids = [doc.id for doc in documents]
# If there's at least one valid ID, we'll assume that IDs should be used.
if any(ids):
kwargs["ids"] = ids
```
Since no vectorstores override `add_documents()`, they all inherit this
behavior and support IDs in documents.
## Solution
Updated `idsInAddDocuments` from `false` to `true` for 13 vectorstores:
- AstraDBVectorStore, Chroma, Clickhouse, DatabricksVectorSearch
- ElasticsearchStore, FAISS, InMemoryVectorStore,
MongoDBAtlasVectorSearch
- PGVector, PineconeVectorStore, Redis, Weaviate, SQLServer
The other 4 vectorstores (CouchbaseSearchVectorStore, Milvus, openGauss,
QdrantVectorStore) were already correctly marked as `true`.
## Impact
Users visiting
https://python.langchain.com/docs/integrations/vectorstores/ will now
see accurate information. The "IDs in add Documents" column will
correctly show ✅ for all vectorstores instead of incorrectly showing ❌
for most of them.
This aligns with the API documentation which states: "if kwargs contains
ids and documents contain ids, the ids in the kwargs will receive
precedence" - clearly indicating that document IDs are supported.
Fixes#30622.
<!-- START COPILOT CODING AGENT TIPS -->
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start the survey.
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com>
## **Description:**
This PR updates the `link` values for the following integration metadata
entries:
1. **VertexAILLM**
- Changed from: `google_vertexai`
- To: `google_vertex_ai_palm`
2. **NVIDIA**
- Changed from: `NVIDIA`
- To: `nvidia_ai_endpoints`
These changes ensure that the documentation links correspond to the
correct integration paths, improving documentation navigation and
consistency with the integration structure.
## **Issue:** N/A
## **Dependencies:** None
## **Twitter handle:** N/A
Co-authored-by: Mason Daugherty <mason@langchain.dev>
- **Description:** This PR updates the `package` field for the VertexAI
integration in the documentation metadata. The original value was
`langchain-google_vertexai`, which has been corrected to
`langchain-google-vertexai` to reflect the actual package name used in
PyPI and LangChain integrations.
- **Issue:** N/A
- **Dependencies:** None
- **Twitter handle:** N/A
- **Description:** Corrected the `link` path in the Google Gemini
integration entry from
`/docs/integrations/text_embedding/google-generative-ai` to
`/docs/integrations/text_embedding/google_generative_ai` to align with
actual directory structure and prevent broken documentation links.
- **Issue:** N/A
- **Dependencies:** None
- **Twitter handle:** N/A
Description
The Perplexity chat model already returns a search_results field, but
LangChain dropped it when mapping Perplexity responses to
additional_kwargs.
This patch adds "search_results" to the allowed attribute lists in both
_stream and _generate, so downstream code can access it just like
images, citations, or related_questions.
Dependencies
None. The change is purely internal; no new imports or optional
dependencies required.
https://community.perplexity.ai/t/new-feature-search-results-field-with-richer-metadata/398
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Mason Daugherty <github@mdrxy.com>
Before jumping into tech implementation, I added a context for
linearization-config param, and explained what's linealization in this
context.
I also linked an AWS blog for more advanced use cases, as this single
example doesn't cover all use cases.
---------
Co-authored-by: Mason Daugherty <mason@langchain.dev>
**On this PR I am doing two things:**
1. Adding titles to the 4 example we have, to allow the reader to
capture the essence of the paragraph quickly
2. Replacing 'samples' with 'examples', for more clarity,
**Why 'examples' could be a better terminology over 'samples' here?**
1. On the page, we were using both 'samples' and 'examples'
interchangeably which lead to confusion, now 'examples' are the use
cases, while 'samples' are the the sample data being used
2. This is consistent with the rest of the docs, we typically use
'examples' for examples, for example
https://python.langchain.com/docs/integrations/callbacks/fiddler/
Trying to unblock documentation build pipeline
* Bump langgraph dep in docs
* Update langgraph in lock file (resolves an issue in API reference
generation)
I am modifying two things:
1. "This sample demonstrates" with "The following samples demonstrate"
as we're talking about at least 4 samples
2. Bringing the sentence to after talking about the definition of
textract to keep the document organized (textract definition then
samples)
---------
Co-authored-by: Mason Daugherty <github@mdrxy.com>
**PR title**:
add deprecation notice for PipelinePromptTemplate
**PR message**:
In the API documentation, PipelinePromptTemplate is marked as
deprecated, but this is not mentioned in the docs.
I'm submitting this PR to add a deprecation notice to the docs.
**Tests**:
N/A (documentation only)
---------
Co-authored-by: Mason Daugherty <github@mdrxy.com>
This PR updates the doc on Hugging Face's inference offering from
'inference API' to 'inference providers'
---------
Co-authored-by: Mason Daugherty <mason@langchain.dev>
* New `reasoning` (bool) param to support toggling [Ollama
thinking](https://ollama.com/blog/thinking) (#31573, #31700). If
`reasoning=True`, Ollama's `thinking` content will be placed in the
model responses' `additional_kwargs.reasoning_content`.
* Supported by:
* ChatOllama (class level, invocation level TODO)
* OllamaLLM (TODO)
* Added tests to ensure streaming tool calls is successful (#29129)
* Refactored tests that relied on `extract_reasoning()`
* Myriad docs additions and consistency/typo fixes
* Improved type safety in some spots
Closes#29129
Addresses #31573 and #31700
Supersedes #31701
