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Makefile changes fix that.
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- **Dependencies:** None.
- **Tag maintainer:** @prakharg-msft @gdyre
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@baskaryan, @eyurtsev, @hwchase17.
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... | open | false | null | [] | null | 1 | 2023-12-11T19:58:47 | 2023-12-11T20:08:24 | null | NONE | null | ### Issue you'd like to raise.
Hi,
I have this issue when working with more than 1 table using the Llama2 model. Let's say table 1 has values A, B, C, and table 2 has values X, Y, Z. When I run the query, it often gives me an error that it creates the query but assumes that table 1 has values X, Y, Z, and it mixes th... | {
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Name: langchain
Version: 0.0.348
Name: PyGithub
Version: 2.1.1
### Who can help?
@hwchase17
@agola11
```
Traceback (most recent call last):
File "/Users/mac/Dev Projects/Chainlit_qa/test.py", line 12, in <module>
github = GitHubAPIWrapper(
^^^^^^^^^^^^^^^^^
Fil... | {
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... | closed | false | null | [] | null | 3 | 2023-12-11T18:14:42 | 2023-12-13T01:18:11 | 2023-12-12T23:55:45 | CONTRIBUTOR | null | Closes https://github.com/langchain-ai/langchain/issues/14548 by enabling something like this:
```python
model: ChatVertexAI
chat_generation = model.generate([prompt.format_messages()]).generations[0][0]
grounding_metadata = chat_generation.generation_info["grounding_metadata"]
``` | {
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... | open | false | null | [] | null | 1 | 2023-12-11T18:06:33 | 2023-12-11T18:08:46 | null | CONTRIBUTOR | null | ### Feature request
As of `langchain==0.0.348` in [`ChatVertexAI` here](https://github.com/langchain-ai/langchain/blob/v0.0.348/libs/langchain/langchain/chat_models/vertexai.py#L187-L191):
1. `vertexai.language_models.ChatSession.send_message` returns a `vertexai.language_models.MultiCandidateTextGenerationResponse... | {
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Langchain 0.0.331, macOS Monterey, Python 3.10.9
### 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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Deprecating tql_query parameter and fixing deeplake tests
Issue:
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- **Issue:** Haven't created one,
- **Dependencies:** ... | {
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- **Issue:** related issue https://github.com/langchain-ai/langchain/issues/13637
Signed-off-by: ugm2 <unaigaraymaestre@gmail.com> | {
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- **Description:** There is a bug in RedisNum filter that filter towards value 0 will be parsed as "*". This is a fix to it.
- **Issue:** N/A
- **Dependencies:** N/A
- **Tag maintainer:** N/A
- **Twitter handle:** N/A
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* Fixes Hybrid search normalization (before we didn't normalize vector similarity)
* Remove special lucene characters from full text index queries (fixes https://github.com/langchain-ai/langchain/issues/14232)
cc @jexp | {
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Langchain version = 0.0.344
Python version = 3.11.5
### Who can help?
@hwchase17 @agola11
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14536 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14536/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14536/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14536/events | https://github.com/langchain-ai/langchain/pull/14536 | 2,035,741,068 | PR_kwDOIPDwls5hr4sK | 14,536 | updated streaming chunk on_llm_new_token in vertexai | {
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... | closed | false | null | [] | null | 2 | 2023-12-11T13:57:08 | 2024-01-02T01:05:38 | 2024-01-02T01:05:37 | NONE | null | - **Description:** We have made changes to fix the issue in streaming chunks in vertexAI,
- **Issue:** Python app is getting crashed when trying to stream response in vertexAI,
- **Dependencies:** No dependency,
- Please help with the review @baskaryan @lkuligin @hwchase17 ,
- **Twitter handle:** https:/... | {
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"id": 56... | closed | false | null | [] | null | 2 | 2023-12-11T12:47:20 | 2023-12-13T00:47:43 | 2023-12-13T00:47:43 | CONTRIBUTOR | null | delete() requires ids to remove documents from the db.
Remove the optional type hinting for ids param.
fixed #14409
@efriis
@hwchase17
@baskaryan
Do you think we can add a separate function which remove's all documents without ids?
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<div type='discussions-op-text'>
<sup>Originally posted by **yallapragada** November 12, 2023</sup>
I am testing a simple RAG implementation with Azure Cognitive Search.
I am seeing a "cannot import name 'Vector' from azure.search.do... | {
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Page: https://python.langchain.com/docs/modules/memory/
In dark mode, there is very little contrast between inputs and outputs. Especially for pages imported from Jupyter notebooks, it can be really confusing figuring out which code blocks are safe to test in a `.py` function a... | {
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Weaviate has released a beta version of their [python client v4](https://weaviate.io/developers/weaviate/client-libraries/python) which seems to be more robust compared to v3. It follows a different structure but allows for more versatility and better error handling when it comes to queries. I thin... | {
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- **Description:** added support for new Google GenerativeAI models
- **Twitter handle:** lkuligin
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<img width="1401" alt="image" src="https://github.com/langchain-ai/langchain/assets/144115527/9e8ba3d9-24ff-4584-9da3-2c9b60e7e624"> | {
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wsl
python 3.10.2
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@hwchase17
@agola11
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https://api.github.com/repos/langchain-ai/langchain/issues/14525 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14525/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14525/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14525/events | https://github.com/langchain-ai/langchain/pull/14525 | 2,035,279,943 | PR_kwDOIPDwls5hqSdN | 14,525 | fix doctran translation async error | {
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removing from langchain as well, will run it sync.
fixed #14437
@efriis
@baskaryan
@hwchase17
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https://api.github.com/repos/langchain-ai/langchain/issues/14524 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14524/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14524/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14524/events | https://github.com/langchain-ai/langchain/pull/14524 | 2,035,164,760 | PR_kwDOIPDwls5hp5Hw | 14,524 | Add the collection_description parameter to Milvus | {
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Python: 3.11
OS: macOS 11.6
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_No response_
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https://api.github.com/repos/langchain-ai/langchain/issues/14519 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14519/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14519/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14519/events | https://github.com/langchain-ai/langchain/issues/14519 | 2,035,017,496 | I_kwDOIPDwls55S-cY | 14,519 | how to use gpt2 with custom promt? | {
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i want to use gpt2 for text genration & want to control the llm
### Motivation
gpt2 is smaller version & its is best for next-word prediction
### Your contribution
want to use below code for loading gpt2 model
```
from transformers import AutoModelForCausalLM, AutoTokenizer
mod... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14518 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14518/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14518/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14518/events | https://github.com/langchain-ai/langchain/issues/14518 | 2,034,867,869 | I_kwDOIPDwls55SZ6d | 14,518 | Is 'collection_name' required when initializing 'PGVector'? | {
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"id": 56... | open | false | null | [] | null | 1 | 2023-12-11T05:36:15 | 2023-12-11T05:41:26 | null | NONE | null | ### System Info
```langchain = "^0.0.345"```
I want to embed and store multiple documents in PGVector and RAG query the DB.
When saving documents, I am specifying a collection_name for each document.
(For example, if I have 3 documents, I have 3 collection_names)
Is it possible to separate collections like this?
... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14517 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14517/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14517/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14517/events | https://github.com/langchain-ai/langchain/issues/14517 | 2,034,861,990 | I_kwDOIPDwls55SYem | 14,517 | Breaking of pattern in `from_document` function | {
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"id": 56... | open | false | null | [] | null | 1 | 2023-12-11T05:30:25 | 2023-12-11T05:32:41 | null | NONE | null | https://github.com/langchain-ai/langchain/blob/c0f4b95aa9961724ab4569049b4c3bc12ebbacfc/libs/langchain/langchain/vectorstores/chroma.py#L742
This function breaks the pattern of how the `embedding_function` is referenced by just calling it `embedding`.
Small issue but definitely makes it a bit confusing to navigate ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14516 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14516/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14516/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14516/events | https://github.com/langchain-ai/langchain/pull/14516 | 2,034,770,535 | PR_kwDOIPDwls5hoiTS | 14,516 | RunnableWithMessageHistory: Fix input schema | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14515 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14515/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14515/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14515/events | https://github.com/langchain-ai/langchain/issues/14515 | 2,034,721,756 | I_kwDOIPDwls55R2Pc | 14,515 | Qdrant retriever with existing data leads to pydantic.error_wrappers.ValidationError: 1 validation error for Document page_content none is not an allowed value (type=type_error.none.not_allowed) | {
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"id": 56... | open | false | null | [] | null | 5 | 2023-12-11T02:50:24 | 2024-01-11T08:35:39 | null | NONE | null | ### System Info
Python 3.10.2
langchain version 0.0.339
WSL
### Who can help?
@hwchase17
@agola11
### Information
- [x ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Template... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14514 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14514/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14514/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14514/events | https://github.com/langchain-ai/langchain/issues/14514 | 2,034,717,889 | I_kwDOIPDwls55R1TB | 14,514 | DOC: Could load GGUF models from https | {
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_No response_
### Idea or request for content:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14513 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14513/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14513/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14513/events | https://github.com/langchain-ai/langchain/issues/14513 | 2,034,583,189 | I_kwDOIPDwls55RUaV | 14,513 | Customize how messages are formatted in MessagesPlaceholder | {
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... | open | false | null | [] | null | 1 | 2023-12-10T23:33:17 | 2023-12-10T23:35:20 | null | NONE | null | ### Feature request
Customize how messages are formatted in MessagesPlaceholder
Currently, history messages are always format to:
'''
Human: ...
AI: ...
'''
Popular chat fine-tunings use all sorts of different formats.
Example:
'''
<|im_start|>user
...<|im_end|>
<|im_start|>assistant
...<|im_end... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14512 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14512/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14512/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14512/events | https://github.com/langchain-ai/langchain/pull/14512 | 2,034,536,844 | PR_kwDOIPDwls5hnwqK | 14,512 | fix: updating internal batch size for gradient embeddings. | {
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"id":... | open | false | null | [] | null | 2 | 2023-12-10T21:15:32 | 2023-12-11T19:44:54 | null | CONTRIBUTOR | null | background: i am author of the gradient integrations.
Issue:
Gradient.ai accepts batch_sizes until 100. This integration sets up to 128, which leads to errors when > 101 embeddings are requested in a function call.
Fix: This PR sets the size per Request to 64.
```bash
Cell In[5], [line 7](vscode-notebook-ce... | {
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... | open | false | null | [] | null | 10 | 2023-12-10T20:43:15 | 2023-12-29T19:27:13 | null | NONE | null | ### System Info
0.0.348, linux , python 3.11
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14509 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14509/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14509/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14509/events | https://github.com/langchain-ai/langchain/pull/14509 | 2,034,520,774 | PR_kwDOIPDwls5hntiB | 14,509 | Added notebook tutorial on using Yellowbrick as a vector store with LangChain | {
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"id": 56... | closed | false | null | [] | null | 1 | 2023-12-10T20:25:15 | 2023-12-13T00:59:06 | 2023-12-13T00:59:05 | CONTRIBUTOR | null | - **Description:** a notebook documenting Yellowbrick as a vector store usage
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https://api.github.com/repos/langchain-ai/langchain/issues/14508 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14508/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14508/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14508/events | https://github.com/langchain-ai/langchain/issues/14508 | 2,034,443,411 | I_kwDOIPDwls55QyST | 14,508 | Help me run this | {
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"node_id... | closed | false | null | [] | null | 8 | 2023-12-10T16:37:15 | 2023-12-11T04:49:51 | 2023-12-11T04:49:51 | NONE | null | ### Issue with current documentation:
import requests
from typing import Optional
from langchain.tools import StructuredTool
``` python
def post_message(url: str, body: dict, parameters: Optional[dict]=None) -> str:
"""Sends a POST request to the given url with the given body and parameters."""
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The in-memory cache section of the LLM Caching documentation shows uncached and subsequent cached responses that differ. The later examples show cached responses that are the same as the uncached response, which makes more sense.
### Idea or request for content:
The cach... | {
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[Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers) is an innovative toolkit to accelerate Transformer-based models on Intel platforms, in particular effective on 4th Intel Xeon Scalable processor [Sapphi... | {
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New YAML output parser as a drop-in replacement for the Pydantic output parser. Yaml is a much more token-efficient format than JSON, proving to be **~35% faster and using the same percentage fewer completion tokens**.
☑️ Formatted
☑️ Linted
☑️ Tested (analogous to the existing`test_pydantic_parser... | {
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... | open | false | null | [] | null | 3 | 2023-12-09T17:55:13 | 2023-12-27T02:51:41 | null | NONE | null | - **Description:** Implement the _acall method of the class langchain.llms.gpt4all.GPT4All
- **Issue:** GPT4All chat error with async calls #5210
- **Dependencies:** no dependency
- **Tag maintainer:** @hwchase17
- **Twitter handle:** None
Okey, I tested locally.
I ran "make format". No issue.
I r... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14494 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14494/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14494/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14494/events | https://github.com/langchain-ai/langchain/issues/14494 | 2,033,925,929 | I_kwDOIPDwls55Oz8p | 14,494 | AmazonKendraRetriever: Error The provided QueryText has a character count of 1020, which exceeds the limit. | {
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"node_... | open | false | null | [] | null | 5 | 2023-12-09T16:34:11 | 2023-12-10T10:32:35 | null | NONE | null | ### System Info
Langchain version: 0.0.348
Python version: 3.10.6
Platform: Linux
The issue is that when using Conversational Chain for with Kendra Retriever with memory, on any followup questions it gives this error.
My guess is somehow QueryText is getting more than the {question} value asked.
![image](... | {
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"url... | closed | false | null | [] | null | 1 | 2023-12-09T15:36:41 | 2023-12-13T01:30:38 | 2023-12-13T01:30:38 | CONTRIBUTOR | null | When using local Chatglm2-6B by changing OPENAI_BASE_URL to localhost, the token_usage in ChatOpenAI becomes None. This leads to an AttributeError when trying to access token_usage.items().
This commit adds a check to ensure token_usage is not None before accessing its items. This change prevents the AttributeError ... | {
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"url... | closed | false | null | [] | null | 2 | 2023-12-09T14:55:20 | 2024-01-03T05:59:59 | 2024-01-03T04:07:49 | CONTRIBUTOR | null | Follow up on https://github.com/langchain-ai/langchain/pull/13048.
This PR intends to simplify the Qdrant async implementation by replacing the internal GRPC methods with the `QdrantAsyncClient` methods.
This is a backward compatible change with no additional steps required after merge. | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14490 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14490/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14490/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14490/events | https://github.com/langchain-ai/langchain/pull/14490 | 2,033,844,531 | PR_kwDOIPDwls5hljjZ | 14,490 | Update OpenAI Default Model to 'gpt-3.5-turbo-instruct' | {
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... | closed | false | null | [] | null | 2 | 2023-12-09T13:11:14 | 2023-12-29T01:45:06 | 2023-12-29T01:45:06 | CONTRIBUTOR | null | As per the guidance provided on the OpenAI model documentation page (https://platform.openai.com/docs/models/gpt-3-5), the text-davinci-003 model is scheduled to be discontinued as of January 4, 2024.
In respon... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14489 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14489/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14489/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14489/events | https://github.com/langchain-ai/langchain/pull/14489 | 2,033,843,414 | PR_kwDOIPDwls5hljVC | 14,489 | fix(embeddings): huggingface hub embeddings and TEI | {
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"url... | closed | false | null | [] | null | 2 | 2023-12-09T13:07:52 | 2023-12-13T01:21:53 | 2023-12-13T01:21:52 | CONTRIBUTOR | null | **Description:** This PR fixes `HuggingFaceHubEmbeddings` by making the API token optional (as in the client beneath). Most models don't require one. I also updated the notebook for TEI (text-embeddings-inference) accordingly as requested here #14288. In addition, I fixed a mistake in the POST call parameters.
**Ta... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14488 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14488/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14488/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14488/events | https://github.com/langchain-ai/langchain/pull/14488 | 2,033,841,045 | PR_kwDOIPDwls5hli3J | 14,488 | Fixed issue with importing Row from sqlalchemy | {
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- **Issue:** the issue # #13464 https://creditone.us.to/langchain-ai/langchain/issues/13464,
- **Dependencies:** None,
- **Twitter handle:** @frankybridman | {
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https://api.github.com/repos/langchain-ai/langchain/issues/14487 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/14487/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/14487/comments | https://api.github.com/repos/langchain-ai/langchain/issues/14487/events | https://github.com/langchain-ai/langchain/issues/14487 | 2,033,828,081 | I_kwDOIPDwls55OcDx | 14,487 | why the sql langchain's custom prompt is not working? | {
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"node_id... | open | false | null | [] | null | 2 | 2023-12-09T12:19:40 | 2023-12-10T05:22:22 | null | NONE | null | ### Issue you'd like to raise.
I tried to work on SQL cutsom prompt, but it didn't work and is still giving the wrong sql queries . Here is the code : def process_user_input(user_input):
create_db()
input_db = SQLDatabase.from_uri('sqlite:///sample_db_2.sqlite')
llm_1 = OpenAI(temperature=0)
db_age... | {
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"url... | closed | false | null | [] | null | 1 | 2023-12-09T08:31:23 | 2023-12-13T05:14:03 | 2023-12-13T01:31:08 | CONTRIBUTOR | null | - **Description:** :
I just update the openai functions docs to use the latest model (ex. gpt-3.5-turbo-1106)
https://python.langchain.com/docs/modules/chains/how_to/openai_functions
The reason is as follow:
After reviewing the OpenAI Function Calling official guide at https://platform.openai.com/docs/guide... | {
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I have retriever implementation like this
```
def get_vector_store(options: StoreOptions) -> VectorStore:
"""Gets the vector store for the given options."""
vector_store: VectorStore
embedding = get_embeddings()
store_type = os.environ.get("STORE")
if store_type == Stor... | {
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It would be nice to write code for any generic LLM to use in a given chain, being able to specify its provider and parameters in a config file outside the source code.
Is there a built-in way to do so? What major roadblocks would you see in doing that?
### Motivation
Most examples that I... | {
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langchain==0.0.335
### Who can help?
@hwchase17 @agol
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Docu... | {
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Hi,
I'm trying to understand _**Pinecone.from_documents**_ as shown [here ](https://python.langchain.com/docs/integrations/vectorstores/pinecone).
I saw it used the same way in another tutorial as well and it seems like it should be calling OpenAIEmbeddings.embed_document... | {
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OS: Using docker image amd64/python:3.10-slim
Python Version: 3.10.13
Langchain Version: 0.0.336
OpenAI Version: 0.27.7
Tenacity Version: 4.65.0
### Who can help?
@agola11 @hwchase17
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Re... | {
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... | closed | false | null | [] | null | 1 | 2023-12-08T21:10:46 | 2023-12-13T01:43:28 | 2023-12-13T01:43:28 | CONTRIBUTOR | null | ### System Info
langchain==0.0.346
### Who can help?
@hwch
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Loader... | {
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The `SmartLLMChain` was was fixed to output key "resolution". Unfortunately, this prevents the ability to use multiple `SmartLLMChain` in a `SequentialChain` because of colliding output keys. This change simply gives the option the customize the output key to allow for sequential chaining. The default ... | {
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Hi, I'm using the llama2 model for SQL, and I modified it to work directly using LLM. I also added more tables to test the model, and I'm modifying the prompt. When I do this, it generates longer queries based on the question I send, but when the query is very long, it doesn't complete g... | {
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- **Description:** Changes GuardrailsOutputParser to be a simple wrapper of the Guard object
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... | closed | false | null | [] | null | 2 | 2023-12-08T17:24:11 | 2023-12-08T23:42:51 | 2023-12-08T23:42:51 | NONE | null | - **Description:** Adds a store_raw_html method to the Html2Text transformer, allowing quick storage of the raw_html for future use
- **Issue:** NA
- **Dependencies:** NA | {
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