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* Cut out obvious examples, but add more description in a few places
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This is related to [HyDE](https://python.langchain.com/docs/modules/chains/additional/hyde). But I feel my feature request puts the HyDE example in a more realistic context, and naturally extends the RetrievalQA chain.
My suggestion would be allow the text passed to the retriever to be differen... | {
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langchain==0.0.244
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Documen... | {
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Replace this comment with:
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- Changes `_convert_search_response()` to use object attributes instead of converting to dictionary
- Simplifies logic for readability
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... | closed | false | null | [] | null | 2 | 2023-07-27T17:30:39 | 2023-11-02T16:04:39 | 2023-11-02T16:04:38 | NONE | null | ### System Info
**RecursiveUrlLoader** is not working. Please refer to the below code. "docs" size is always 0.
https://python.langchain.com/docs/integrations/document_loaders/recursive_url_loader
from langchain.document_loaders.recursive_url_loader import RecursiveUrlLoader
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The `_id` field should be populated with these in order:
1. `ids: Optional[List[str]] = None,` -- already in place
2. Document metadata (filename + start_index) -- new feature
3. Leave `_id` empty (instead of uuid) -- new feature
https://github.com/langchain-ai/langchain/blob/cf608f876b0ada... | {
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Langchain version: 0.0.244
Numexpr version: 2.8.4
Python version: 3.10.11
### Who can help?
@hwchase17 @vowelparrot
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / ... | {
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Following this:https://github.com/levalencia/langchainLuisValencia/blob/master/.github/CONTRIBUTING.md#-common-tasks
On Windows.
Forked the repo, cloned it locally, created a conda environment, (Poetry was already installed), then installed all dependencies.
Error received:... | {
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Mac, command line and jupyter notebook inside VSCode
### Who can help?
_No response_
### Information
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- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
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LangChain version v0.0.5, Python 3.9.13
### Who can help?
@hwchase17
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- [ ] Embedding Models
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- Removed restricted model loading logic for Petals-Bloom
- Removed petals imports (DistributedBloomForCausalLM, BloomTokenizerFast)
- Instead imported more generalized versions of loader (AutoDistributedModelForCausalLM, AutoTokenizer)
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if we are passing chathistory as a input in agent
template = """You are a chatbot having a conversation with a human.
{chat_history}
{human_input}
Chatbot:"""
prefix = """Have a conversation with a human, answering the following questio... | {
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Replace this comment with:
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- Tag maintainer: @baskaryan
Create `Awa.ipynb`: an example notebook for AwaEmbeddings class
Modify `embeddings/__init__.py`: Import the class
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I'm trying to achieve the least calls to openAI-s API, So I've tried to save my vectorstorage to the disk and then reload it (like its in the "if" part). But if I use OpenAIEmbeddings() as embedding_funcion it still calls to openai's embeddings API. (Maybe it should be a feature request) Is this a bug?... | {
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This PR will enable the Open API chain to work with valid Open API specifications missing `description` and `summary` properties for path and operation nodes in open api specs.
Since both `description` and `summary` property are declared optional we cannot be sure they are defined. This PR resolves ... | {
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### Who can help?
_No response_
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Some kind of possibility to make a custom tool with return direct not do so when faced with a error such as a ToolException.
### Motivation
Currently, when a tool with return_direct faces a handled error, it returns the error directly. I would want a tool to return an output directly but only if ... | {
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The Playwright toolkit is awesome. But it would be great to be able to see what the agent is doing. We could add a feature that takes screenshoots of the current state of the web page
### Motivation
It feels strange to use the toolkit but being blind, we cannot see what the agent is doing. The or... | {
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<div type='discussions-op-text'>
<sup>Originally posted by **luca-git** May 29, 2023</sup>
My goal is to extend the tools used by baby AGI, more specifically to use at least the basic WriteFileTool() and ReadFileTool(). They use two in... | {
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```
PYTHON_FILES=$(shell git diff --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
``... | {
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... | closed | false | null | [] | null | 1 | 2023-07-27T06:04:49 | 2023-07-27T14:47:28 | 2023-07-27T14:47:28 | CONTRIBUTOR | null | ### System Info
gptcache==0.1.37
langchain==0.0.240
python 3.8
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- ... | {
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... | closed | false | null | [] | null | 5 | 2023-07-27T05:59:45 | 2023-11-06T16:06:19 | 2023-11-06T16:06:18 | NONE | null | ### System Info
While using both URL-Playwriter or PlayWright Browser Toolkit I am getting this error.
The solution I used:
1. I used asyncio.create_task
2. I used nest_asyncio.apply
but the error is the same. Please help if someone is also getting the same error and found some solution
![image](https://githu... | {
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... | closed | false | null | [] | null | 3 | 2023-07-27T05:20:26 | 2023-07-27T23:51:32 | 2023-07-27T23:51:32 | CONTRIBUTOR | null | Description: Fix exception caused by restrictions in OWL
Issue: #8331
Dependencies: none
Maintainer: @baskaryan
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<!-- Thank you for contributing to LangChain!
Replace this comment with:
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- Issue: the issue # it fixes (if applicable),
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I encountered the issue while reproducing the section related to **[Structured tool chat](https://python.langchain.com/docs/modules/agents/agent_types/structured_chat)** in the documentation.
## This is the code (from docs)
```python
from langchain.tools.playwright.utils import c... | {
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... | closed | false | null | [] | null | 4 | 2023-07-27T03:32:18 | 2023-08-01T03:14:27 | 2023-08-01T02:57:22 | NONE | null | Description:
support adding custom http headers when use AzureMLOnlineEndpoint through ContentFormatterBase
Issue:
when using AzureMLOnlineEndpoint through ContentFormatterBase, I am unable to add any HTTP request header elements that I want.
Dependencies:
no dependencies required
Details:
1. Add a dict... | {
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<!-- Thank you for contributing to LangChain!
Replace this comment with:
- Description: a description of the change,
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https://api.github.com/repos/langchain-ai/langchain/issues/8335 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8335/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8335/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8335/events | https://github.com/langchain-ai/langchain/pull/8335 | 1,823,500,601 | PR_kwDOIPDwls5WgAYA | 8,335 | support adding custom http headers when use AzureMLOnlineEndpoint through ContentFormatterBase | {
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Issue: hen using AzureMLOnlineEndpoint through ContentFormatterBase, I am unable to add any HTTP request header elements that I want.
Dependencies: no dependencies required
Details:
1. Add a dictionary-typ... | {
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When I have a single PDF file it works very well, when I have several files it does not find the same question as if it did when there was only one pdf file, I have the following code
store = PGVector(
collection_name=COLLECTION_NAME,
connection_string=CONNECTION_STRING,
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https://api.github.com/repos/langchain-ai/langchain/issues/8332 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8332/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8332/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8332/events | https://github.com/langchain-ai/langchain/issues/8332 | 1,823,470,170 | I_kwDOIPDwls5sr_Ja | 8,332 | Issue: Max CSV Size | {
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I have a csv file I would like to interact with but when I start using it says:
Retrying langchain.embeddings.openai.embed_with_retry.<locals>._embed_with_retry in 4.0 seconds as it raised APIError: OpenAI API returned an empty embedding.
Retrying langchain.embeddings.openai.embed_wi... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8331 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8331/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8331/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8331/events | https://github.com/langchain-ai/langchain/issues/8331 | 1,823,441,492 | I_kwDOIPDwls5sr4JU | 8,331 | RDFGraph throws exception when ontology contains blank nodes | {
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... | closed | false | null | [] | null | 1 | 2023-07-27T01:25:11 | 2023-08-09T07:44:41 | 2023-08-09T07:44:41 | CONTRIBUTOR | null | ### System Info
langchain version=0.0.237
python version = 3.11.4
### Who can help?
@hwchase17
The RDFGraph class appears to throw an exception when an OWL ontology contains a Restriction.
For example, a Turtle ontology contains the following restriction causes the error "Unexpected IRI 'n16c4af590.........",... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8330 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8330/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8330/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8330/events | https://github.com/langchain-ai/langchain/pull/8330 | 1,823,406,979 | PR_kwDOIPDwls5WfsUF | 8,330 | Upgrade to Pydantic v2 | {
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... | closed | false | null | [] | null | 5 | 2023-07-27T00:38:18 | 2023-08-24T17:25:44 | 2023-08-24T17:25:43 | NONE | null | This PR should encompass (most of) the changes needed to support [Pydantic v2](https://docs.pydantic.dev/2.0/blog/pydantic-v2-final/)
Relevant Issue: https://github.com/langchain-ai/langchain/issues/6841
Dependency wise, had to bump Pydantic (ofc) and `autodoc-pydantic` which has a yanked 2.0.0 pypi deploy which ... | {
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"node_... | closed | false | null | [] | null | 1 | 2023-07-27T00:31:00 | 2023-11-02T16:05:19 | 2023-11-02T16:05:18 | NONE | null | ### Feature request
I propose to make BaseMemoryAsync, BaseChatMessageHistoryAsync, SummarizerMixinAsync, BaseChatMemoryAsync and add support for async save_context to the main Chain class. For web development, everything is asynchronous, and this is critical.
### Motivation
I've faced a problem when writing a chatb... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8328 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8328/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8328/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8328/events | https://github.com/langchain-ai/langchain/issues/8328 | 1,823,346,330 | I_kwDOIPDwls5srg6a | 8,328 | Issue: How to extract quotes from a large file | {
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... | closed | false | null | [] | null | 2 | 2023-07-26T23:19:52 | 2023-11-01T16:04:50 | 2023-11-01T16:04:49 | NONE | null | ### Issue you'd like to raise.
This might be a general issue with LLM tools but I wanted to pose it here since this community is very active.
When you feed a huge CSV file with thousands of comments, you are trying to summarize them but also extract some quotes.
When feeding this file into Langchain, it will s... | {
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... | open | false | null | [] | null | 8 | 2023-07-26T22:59:57 | 2023-11-15T00:04:44 | null | NONE | null | ### Feature request
Add support for passing CustomAttributes to the `SagemakerEnpiontLLM` wrapper around `client.invoke_enpoint()`
With the release of LLama-v2 on Sagemaker Jumpstart, we are required to pass EULA=TRUE # END USER LICENSE AGREEMENT
Endstate
```python
class SagemakerEndpoint(LLM):
...
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I am converting from CONVERSATIONAL_REACT agent to Functions and having a tough time figuring out how to customize the prompt. Memory was not obvious, but worked as expected. However, adding additional inputs does not:
``` Python
memory = ConversationBufferMemory(memory_key=... | {
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Hi,
this repo on huggingface implements word-level timestamps into locally run whisper models: https://huggingface.co/spaces/Matthijs/whisper_word_timestamps/tree/main
I have created a simple modification of this for generating simple CSVs with words and timestamps, a functionality i'd love t... | {
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Issue: Run an example in the Entity memory documentation. When an entity is extracted, it has unnecessary part '\nEND OF EXAMPLE' at the end, e.g., 'Sam\nEND OF EXAMP... | {
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According to the [Amazon Kendra documentation](https://docs.aws.amazon.com/kendra/latest/APIReference/API_Query.html), a query response contains three types of results:
- **Relevant suggested answers.** The answers can be either a text excerpt or table excerpt. The answer can be highlighted in the... | {
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`RecursionError: maximum recursion depth exceeded`
because of incorrect field reference in
`embeddings()` method
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Replace this comment with:
- Description: Fix RecursionError because of a typo
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embeddings() method
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- Issue: the issue #8310
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- changed docstrings into consistent format
@baskaryan
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langchain==0.0.243
```
@property
def embeddings(self) -> Embeddings:
return self.embeddings
```
is referencing itself instead of `self.embedding` resulting in Recursion error.
```
return self.embeddings
^^^^^^^^^^^^^^^
[Previous line repeated 993 more times]
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This works -
`query="1. What is the working mechanism of LLM Powered Autonomous Agents?"`
```
QUERY
1. What is the working mechanism of LLM Powered Autonomous Agents?
RESULT
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* Update from_role_strings classmethod to use well known roles
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Hi All,
I tried to run Apify tutorial and I ran on the issue of ImportError: cannot import name 'ApifyWrapper' from 'langchain.utilities'. I checked the Utilities library under utilities/__init__.py and I couldn't find anything under the Generic integrations with third-party systems and packages.
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"node_id... | open | false | null | [] | null | 3 | 2023-07-26T18:13:52 | 2023-10-25T17:08:45 | null | CONTRIBUTOR | null | ### Feature request
Possibility to make a direct return of a tool's output on certain cases.
### Motivation
Under specific circumstances, it would be extremely beneficial to be able to return a tool's output directly to the user. For instance, this feature would be helpful when using a search tool. If a searc... | {
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... | closed | false | null | [] | null | 3 | 2023-07-26T17:33:31 | 2023-12-20T22:59:35 | 2023-11-15T16:07:14 | CONTRIBUTOR | null | ### System Info
Pop!_OS 22.04 LTS
Python 3.11.4
Langchain v0.0.242
### Who can help?
@hwchase17
@agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt S... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8303 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8303/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8303/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8303/events | https://github.com/langchain-ai/langchain/pull/8303 | 1,822,853,859 | PR_kwDOIPDwls5Wdz9R | 8,303 | fix missing _identifying_params() in _VertexAICommon | {
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"... | closed | false | null | [] | null | 3 | 2023-07-26T17:26:37 | 2023-09-02T00:16:21 | 2023-07-27T23:59:10 | CONTRIBUTOR | null | Full set of params are missing from Vertex* LLMs when `dict()` method is called.
```
>>> from langchain.chat_models.vertexai import ChatVertexAI
>>> from langchain.llms.vertexai import VertexAI
>>> chat_llm = ChatVertexAI()
l>>> llm = VertexAI()
>>> chat_llm.dict()
{'_type': 'vertexai'}
>>> llm.dict()
{'_typ... | {
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- Issue: typo
- Dependencies: none
- Tag maintainer: @hinthornw
- Twitter handle: not active
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- Issue: typo
- Dependencies: none
- Tag maintainer: @hinthornw
- Twitter handle: not active
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https://api.github.com/repos/langchain-ai/langchain/issues/8300 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8300/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8300/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8300/events | https://github.com/langchain-ai/langchain/pull/8300 | 1,822,815,127 | PR_kwDOIPDwls5WdroB | 8,300 | Bug Fix: AzureChatOpenAI streaming with function calls | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8298 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8298/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8298/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8298/events | https://github.com/langchain-ai/langchain/issues/8298 | 1,822,776,944 | I_kwDOIPDwls5spV5w | 8,298 | installing pip install langchain[all] installs the old version of langchain 0.0.39 | {
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... | closed | false | null | [] | null | 3 | 2023-07-26T16:32:22 | 2023-08-07T18:29:02 | 2023-08-07T18:29:02 | NONE | null | ### System Info
When i install for the first time using this command
```
pip install 'langchain[all]'
```
It installs the older version `langchain 0.0.39`
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] L... | {
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... | closed | false | null | [] | null | 3 | 2023-07-26T16:14:04 | 2023-09-01T15:44:30 | 2023-09-01T15:44:30 | COLLABORATOR | null | Refactored `load`. The same as https://github.com/langchain-ai/langchain/pull/7961 #8098 #8099
`load` is in the root code folder. This creates the `langchain.load: Load` group on the API Reference navigation ToC, on the same level as Chains and Agents which is incorrect.
Refactoring:
- copied `load/serializable... | {
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Replace this comment with:
- Description: fix ElasticVectorSearch.from_documents with elasticsearch_url param,
- Issue: ElasticVectorSearch.from_documents failed #8293 # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
- T... | {
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This PR now supports further models in addition to Lllama-2 chat models. See [this comment](#issuecomment-1668988543) for further details. The title of this PR has been updated accordingly.
## Original PR description
This PR adds a generic `Llama2Chat` model, a wrapper for LLMs able to ser... | {
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Issue:
You can see the issue if you try to build the dev docker image with:
```
cd .devcontainer
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python = 3.9
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openAI - 3.5-turbo
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langchain==0.0.144
python3 == 3.11.4
### Who can help?
_No response_
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<!-- Thank you for contributing to LangChain!
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- Issue: None
- Dependencies: None
- Tag maintainer: @baskaryan
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I'm using a SQL Agent that is connected to BigQuery to build a QA model. I get OutputParserException fairly often. The Agent returns the correct answer some times, but I have never got an answer when the option view_support=True in SQLDatabase.from_uri().
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@rlancemartin, @eyurtsev Please review, thanks!
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python 3.11.4
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@hwchase17
@hwchase17
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