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Hey guys! Below is the code which i'm working on
```
import pandas as pd
from IPython.display import Markdown, display
from langchain.agents import create_csv_agent
from langchain.chat_models import ChatOpenAI
from langchain.llms import OpenAI
import os
import pandas as ... | {
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I have run the below code which will try to go through the csv file and return the answer
```
import pandas as pd
import json
from langchain.llms import OpenAI
from langchain.chains import LLMChain
openai_api_key = ''
# Read CSV file into a DataFrame
df = pd.read_csv... | {
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Replace this entire comment with:
- **Description:** a description of the change,
- **Issue:** the issue # it fixes (if applicable),
- **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant... | {
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- Added `CrossEncoder` schema
- Implemented `HuggingFaceCrossEncoder` and `SagemakerEndpointCrossEncoder`
- Implemented `CrossEncoderReranker` that performs similar functionality to `CohereRerank`
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I am using conversational retreival chain .from_llm(). If i try to print the final prompt that is been sent to LLM there i see LLM calls total 2 times. I will paste both the prompt in both calls.
Below is the code i am using
`qa_chain = ConversationalRetrievalChain.from_llm(llm=ll... | {
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Updated the functions with new Clarifai python SDK.
Enabled initialisation of Clarifai class with model URL.
Updated docs with new functions examples.
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Bugfix duckduckgo_search news search
- **Issue:**
https://github.com/langchain-ai/langchain/issues/13648
- **Dependencies:**
None
- **Tag maintainer:**
@baskaryan
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This PR fixes the imports and updates the documentation.
@baskaryan since you reviewed our last PR - https://github.com/langchain-ai/langchain/pull/11023.
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LangChain version: `0.0.339`
Python version: `3.10`
### Who can help?
@hwchase17
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
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Updated the functions with new Clarifai python SDK.
Enabled initialisation of Clarifai class with model URL.
Updated docs with new functions examples. | {
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- move PromptValue into top level module bc both PromptTemplates and OutputParsers import
- move tracer context vars to `tracers.context` and import them in functions in `callbacks.manager`
- add core import tests | {
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I am creating a tool that takes a multiple input arguments (say input1, input2). I would like to validate their types and also make sure that the tool only receives input1 and input2. How do I validate this without breaking the llm chain. I would instead like to return a warning to the l... | {
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This PR contains our new integration between langchain and Comet - `CometTracer` class which uses new `comet_llm` python package for submitting data to Comet.
No additional dependencies for the langchain package are required directly, b... | {
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- **Issue:** example didn't work,
- **Dependencies:** None,
- **Tag maintainer:** @baskaryan,
- **Twitter handle:** @Ravidhu87 | {
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- **Twitter handle:** https://twitter.com/JinaAI_ | {
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- **Description:** VertexAI models are now GA, moved away from using preview ones from the SDK
- **Issue:** #13606 | {
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... | open | false | null | [] | null | 5 | 2023-11-21T14:51:15 | 2023-11-27T13:40:43 | null | NONE | null | ### System Info
Langchain Version: 0.0.339
Python Version: 3.10.12
### Who can help?
@hwchase17
When trying to execute the example from the GraphSparqlQAChain docs a ValueError arises, in my understanding because it cannot parse the query correctly and execute it against the graph.
```
> Entering new GraphSp... | {
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"id":... | open | false | null | [] | null | 1 | 2023-11-21T14:42:36 | 2023-11-21T14:49:47 | null | NONE | null | ### System Info
Langchain 0.0.326
Windows
Python 3.11.5
Nvidia P6-16Q GPU
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Temp... | {
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"id":... | closed | false | null | [] | null | 3 | 2023-11-21T14:31:09 | 2023-12-05T00:46:30 | 2023-12-05T00:46:29 | NONE | null | **Description**: Fixes a regression in `ConsistentFakeEmbeddings.embed_query`.
**Issue**: The function did not return the correct values.
**Dependencies**: -,
**Tag maintainer**: @baskaryan
----
Hi there,
first things first: Thanks a stack for conceiving and maintaining LangChain.
At https://github.com/c... | {
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To develop a scalable solution, I hoped to store the AgentExecutor object in centralized memory, such as Redis. However, due to its non-serializable nature, this has not been possible. Is there a workaround to achieve this?
### Suggestion:
_No response_ | {
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"id": 56... | closed | false | null | [] | null | 3 | 2023-11-21T13:33:13 | 2023-11-22T04:16:35 | 2023-11-22T04:16:24 | CONTRIBUTOR | null | - **Description:** This commit fixed the problem that Redis vector store will change the value of a metadata from 0 to empty when saving the document, which should be an un-intended behavior.
- **Issue:** N/A
- **Dependencies:** N/A
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def delete_embeddings(file_path, persist_directory):
chroma_db = chromadb.PersistentClient(path=persist_directory)
collection = chroma_db.get_or_create_collection(name="langchain")
ids = collection.get(where={"source": file_path})['ids']
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- **Issue:** N/A
- **Dependencies:** Users will need google-cloud-aiplatform>=1.36.0
- **Tag maintainer:** @baskaryan @leo-gan
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- **Issue:** #12165
- **Dependencies:** yandexcloud,
- **Tag maintainer:** @eyurtsev ,
- **Twitter handle:** cheparukhin_s
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... | open | false | null | [] | null | 5 | 2023-11-21T12:10:21 | 2023-11-21T16:02:01 | null | CONTRIBUTOR | null | ### System Info
Ubuntu 22
python 3.10.12
Langchain==0.0.339
duckduckgo-search==3.9.6
### Who can help?
@timonpalm who created [the PR](https://github.com/langchain-ai/langchain/pull/8292)
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
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"node_id... | open | false | null | [] | null | 2 | 2023-11-21T12:00:56 | 2023-11-22T09:22:29 | null | CONTRIBUTOR | null | ### Issue you'd like to raise.
Im trying to develop an sql agent chatbot that will generate and exceute SQL queries based on the user free-text questions.
so far I have developed a generic and basic agent with ChatGPT-4 and it worked pretty well (generated complex SQL and returned an answer).
When I tried to switch ... | {
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... | closed | false | null | [] | null | 2 | 2023-11-21T11:37:41 | 2023-11-22T01:28:38 | 2023-11-22T01:28:38 | CONTRIBUTOR | null | fix bug
<!-- Thank you for contributing to LangChain!
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"url... | closed | false | null | [] | null | 2 | 2023-11-21T11:21:33 | 2023-11-22T09:21:06 | 2023-11-22T01:48:38 | CONTRIBUTOR | null | **Description:** BaseStringMessagePromptTemplate.from_template was passing the value of partial_variables into cls(...) via **kwargs, rather than passing it to PromptTemplate.from_template. Which resulted in those *partial_variables being* lost and becoming required *input_variables*.
**twitter handle**: @josep_pon
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... | open | false | null | [] | null | 3 | 2023-11-21T11:20:41 | 2023-11-24T16:19:26 | null | NONE | null | ### Feature request
Hello,
I'm not sure if this is already supported or not, I couldn't find anything in the documentation.
Is there a way to make chains support streaming ? It would be nice if we can get it working with something like the `load_summarize_chain`.
Or something like this:
```
doc_... | {
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"url... | open | false | null | [] | null | 2 | 2023-11-21T10:07:12 | 2023-12-05T00:35:55 | null | NONE | null | - **Description:** Enhancements to the CobolSegmenter
1- Improved COBOL code validation by checking for the presence of essential COBOL division keywords (IDENTIFICATION, DATA, PROCEDURE, ENVIRONMENT) using a regular expression.
2- Refinements made to the _process_lines method, which iterates through all lines in... | {
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- **Twitter handle:** @dstackai
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https://api.github.com/repos/langchain-ai/langchain/issues/13640 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13640/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13640/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13640/events | https://github.com/langchain-ai/langchain/issues/13640 | 2,003,853,667 | I_kwDOIPDwls53cGFj | 13,640 | DOC: Template "rag-gpt-crawler" doc is incorrect | {
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... | closed | false | null | [] | null | 2 | 2023-11-21T09:39:28 | 2023-11-22T22:06:11 | 2023-11-22T22:06:11 | NONE | null | ### Issue with current documentation:
Regarding:
https://github.com/langchain-ai/langchain/blob/master/templates/rag-gpt-crawler/README.md
I found 2 issues:
1. no such file as "server.py" ( there is "rag_gpt_crawler.ipynb" instead )
2. in docs linked line
`from rag_chroma import chain as rag_gpt_crawler`
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The documentation on [creating documents](https://js.langchain.com/docs/modules/data_connection/document_loaders/how_to/creating_documents) covers optional document metadata but doesn't mention that it's possible to create text metadata in `page_content`. For example if only a fil... | {
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Add a progress bar to `GooglePalmEmbeddings.embed_documents()` function. [tqdm](https://github.com/tqdm/tqdm) would work just fine.
In my opinion, all embedders should have a progress bar.
### Motivation
When processing embeddings the user should have an idea of how much time is going to take ... | {
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langchain 0.0.326
### Who can help?
_No response_
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### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
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- **Issue:** Closes #13326 and #10680
- **Dependencies:** None.
- **Tag maintainer:** @eyurtsev, @hwchase17 | {
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Lanchain V: 0.339
### Who can help?
@hwchase17
@agola11
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`Got unsupported message type: `
This fixes it.
Tested locally
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LangChain Version: 0.0.339
Python version: 3.10.8
Windows 10 Enterprise 21H2
When creating a ConversationalRetrievalChain as follows:
CONVERSATION_RAG_CHAIN_WITH_SUMMARY_BUFFER = ConversationalRetrievalChain(
combine_docs_chain=combine_docs_chain,
memory=summary_memory,
retriev... | {
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I have been using Ollama with Langchain for various tasks, but sometimes Ollama takes too long to respond depending on my local hardware. Is it possible to add a configurable timeout to the Ollama base class so that I can adjust this setting to avoid timeouts when using agents. Currently, I am gett... | {
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This PR adds Databricks Vector Search as a new vector store in LangChain.
- [x] Add `DatabricksVectorSearch` in `langchain/vectorstores/`
- [x] Unit tests
- [x] Add [`databricks-vectorsearch`](https://pypi.org/project/databricks-vectorsearch/) as a new optional dependency
We ran the following ... | {
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"url... | closed | false | null | [] | null | 1 | 2023-11-20T20:57:10 | 2023-11-22T02:33:07 | 2023-11-22T02:33:07 | CONTRIBUTOR | null | - **Description:** add method embed_general_texts in VoyageEmebddings to support input_type
- **Issue:**
- **Dependencies:**
- **Tag maintainer:**
- **Twitter handle:** @Voyage_AI_
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https://api.github.com/repos/langchain-ai/langchain/issues/13619 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13619/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13619/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13619/events | https://github.com/langchain-ai/langchain/pull/13619 | 2,002,954,666 | PR_kwDOIPDwls5f81Bz | 13,619 | feat: implement max marginal relevance for momento vector index | {
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Implements `max_marginal_relevance_search` and `max_marginal_relevance_search_by_vector` for the Momento Vector Index vectorstore.
Additionally bumps the `momento` dependency in the lock file and adds logging to the implementation.
**Dependencies**
✅ updates `momento` dependency in lock file... | {
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"url... | closed | false | null | [] | null | 1 | 2023-11-20T19:53:31 | 2023-11-28T17:10:06 | 2023-11-28T16:49:25 | COLLABORATOR | null | Several bug fixes:
- emails: instead of `bcc` the `cc` is used.
- errors in the truncation descriptions
- no truncation of the `message_search`
Several updates:
- generalized UTC format
- truncation limit can be changed now in _call() | {
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The compatible versions for library `pgvector` listed in `poetry.lock` are really old: `"pgvector (>=0.1.6,<0.2.0)"`.
Are we able to update them to more recent ones?
### Suggestion:
Update versions to recent ones. | {
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- **Dependencies:** n/a (just using `requests`)
- **Tag maintainer:** stvhu-bookend
- **Twitter handle:** https://twitter.com/bookendai | {
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- **Description:** Update RAG Redis template readme and dependencies.
- **Tag maintainer:** @efriis @baskaryan
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"id": 56... | open | false | null | [] | null | 1 | 2023-11-20T17:18:34 | 2023-11-28T08:51:47 | null | NONE | null | - **Description:** updated func max_marginal_relevance_search handling of metadata_field to be same as similarity_search_with_score. Allow flatten Opensearch mapping, where meta fields are not nested into any field.
- **Issue:** #10524
- **Maintainer:** @hwchase17, @baskaryan | {
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# Create and load Redis with documents
vectorstore = RedisVectorStore.from_texts(
texts=texts,
metadatas=metadatas,
embedding=embedding,
index_name=index_name,
redis_url=redis_url
)
The error i faced
Redis cannot be used as a vector database without RediSearch >=2.4... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13610 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13610/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13610/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13610/events | https://github.com/langchain-ai/langchain/issues/13610 | 2,002,454,320 | I_kwDOIPDwls53Wwcw | 13,610 | Type Checking issue: CacheBackedEmbeddings.split_documents does not take a list of Documents | {
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"id":... | open | false | null | [] | null | 2 | 2023-11-20T15:27:25 | 2023-11-20T15:34:24 | null | NONE | null | ### System Info
I encountered an exception and a type checking notice in PyCharm while working with the following code snippet:
```
split_documents = text_splitter.split_documents(raw_documents)
cached_embedder.embed_documents(**split_documents**)
```
The type checking notice indicates that there is a mismatc... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13608 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13608/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13608/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13608/events | https://github.com/langchain-ai/langchain/pull/13608 | 2,002,224,474 | PR_kwDOIPDwls5f6VLd | 13,608 | Added support for partial_variables to BaseStringMessagePromptTemplate | {
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... | closed | false | null | [] | null | 1 | 2023-11-20T13:36:03 | 2023-11-21T11:05:58 | 2023-11-21T11:05:55 | CONTRIBUTOR | null | **Description:** BaseStringMessagePromptTemplate.from_template was passingg the value of partial_variables into cls(...) via **kwargs, rather than passing it to PromptTemplate.from_template.
**Tag maintainer:** @eyurtsev
**Twitter handle:** @josep_pon
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... | open | false | null | [] | null | 2 | 2023-11-20T13:30:37 | 2023-11-20T13:40:30 | null | NONE | null | ### Issue you'd like to raise.
Hello, I am working on a conversational chatbot, here is a snippet of the code :
```
general_system_template = ""You a chatbot...
---
{summaries}"""
general_user_template = "Question: {question}"
messages = [
SystemMessagePromptTemplate.from_template(general_system_te... | {
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... | open | false | null | [] | null | 2 | 2023-11-20T12:55:25 | 2023-11-20T13:02:41 | null | NONE | null | ### System Info
python = "^3.8.10"
langchain = "^0.0.336"
google-cloud-aiplatform = "^1.36.3"
### Who can help?
@hwchase17 @agol
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt... | {
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I've created a multi-level directory vector store using Faiss. How can I retrieve all indices within one or multiple subdirectories?
### Suggestion:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13604 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13604/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13604/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13604/events | https://github.com/langchain-ai/langchain/pull/13604 | 2,002,022,305 | PR_kwDOIPDwls5f5pAz | 13,604 | Fix broken link on Meilisearch vector-store documentation | {
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- **Issue:** no open issue
**Note:**
Hi langchain team,
Sorry to open a PR for this concern but we realized that one of the links present in the documentation booklet was broken 😄 | {
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LangChain 0.0.338
Python 3.11.5
### 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
- ... | {
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Langchain==0.0.338
python==3.8.1
neo4j latest
this is the error:
---------------------------------------------------------------------------
ConfigurationError Traceback (most recent call last)
[/Users/m1/Desktop/LangChain/Untitled.ipynb](https://file+.vscode-resource.v... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13599 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13599/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13599/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13599/events | https://github.com/langchain-ai/langchain/issues/13599 | 2,001,666,284 | I_kwDOIPDwls53TwDs | 13,599 | Issue: Filling `ConversationSummaryMemory` with existing conversation from an SQLite database | {
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I'd like to make `ConversationSummaryMemory` is filled with the previous questions and answers for a specific conversation from an SQLite database so I can have my agent already aware of previous conversation with the user.
Here's my current code:
```py
import os
import sys
from... | {
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add support for other multimodal models like Llava, Fuyu, Bakllava... This would help with RAG, where documents have non text data.
### Motivation
I have a lot of tables and images to proccess in PDFs when doing RAG, and right now this is not ideal.
### Your contribution
no time :( | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13596 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13596/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13596/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13596/events | https://github.com/langchain-ai/langchain/issues/13596 | 2,001,474,706 | I_kwDOIPDwls53TBSS | 13,596 | Issue: How to add randomness when using max_marginal_relevance_search with Qdrant | {
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"id": 56... | open | false | null | [] | null | 2 | 2023-11-20T06:38:24 | 2023-11-20T06:44:07 | null | NONE | null | ### Issue you'd like to raise.
I am using Qdrant as my vector store, and now, every time I use 'max_marginal_relevance_search' with a fix k parameter. It will always return the same documents. How to add some randomness? So it will return something different(Still within the score_threshold) each time. Here is my samp... | {
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<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- **Description:** fix ImportError: cannot import name 'DriverInfo' from 'pymongo'
- **Issue:** As above
- **Dependencies:** NA
- **Tag maintainer:** @efriis @jarib
Please make sure your PR is passing linting and test... | {
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langchain==0.0.266
### Who can help?
@eyurtsev @hwchase17
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
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Ability to use guidance.
https://github.com/guidance-ai/guidance
### Motivation
Not related to a problem.
### Your contribution
Not sure yet but I can look into it if it is something the community considers. | {
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I know I can generate a python dictionary output using StructuredOutputParser like { "a":1, "b":2, "c":3}. However, I would like to generate a nested dic like { "a":1, "b":2, "c":{"d":4, "e":5}}
How can I do it?
### Suggestion:
_No response_ | {
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- **Tag maintainer:** @eyurtsev
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This change removes those 3-level namespaces from sidebar (this issue was discussed with @efriis )
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`from langchain.schema.prompts import BasePromptTemplate`
but because of the breaking change in the ns, it is now
`from langchain.schema.prompt_template import BasePromptTemplate`
This bug prevents building the API Reference for the langchain_experimental | {
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Hi, I'm using a conversationchain that contains memory. It is defined as:
llm = ChatOpenAI(temperature=0.0, model=llm_model)
memory = ConversationBufferMemory()
conversation = ConversationChain(
llm=llm,
memory = memory,
verbose=True
)
I know I can access the current... | {
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Enhance the functionality of YoutubeLoader to enable the translation of available transcripts by refining the existing logic.
**Issue:**
Encountering a problem with YoutubeLoader (#13523) where the translation feature is not functioning as expected.
Tag maintainers/contributors who might be int... | {
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Issue: #13580
Dependencies: None
Tag maintainer: @hwchase17
Twitter handle: @jwatte
"Run `make format`, `make lint` and `make test` to check this locally."
The test scripts don't work in a plain Ubu... | {
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... | open | false | null | [] | null | 3 | 2023-11-19T19:21:07 | 2023-11-22T00:14:24 | null | CONTRIBUTOR | null | ### System Info
Linux 20.04 LTS
Python 3.6
### Who can help?
@hwchase17 seems like this got introduced on 2023-11-16
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Template... | {
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... | open | false | null | [] | null | 4 | 2023-11-19T18:54:14 | 2023-11-20T09:44:14 | null | CONTRIBUTOR | null | ### System Info
Mac M1
### Who can help?
@eyurtsev
Here:
https://github.com/langchain-ai/langchain/blob/78a1f4b264fbdca263a4f8873b980eaadb8912a7/libs/langchain/langchain/document_loaders/confluence.py#L284
We start adding the "max_pages" first pages to the "docs" list that will be the output of loader.load.... | {
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"node_... | closed | false | null | [] | null | 6 | 2023-11-19T16:56:45 | 2023-11-20T13:28:40 | 2023-11-20T13:25:40 | NONE | null | I am having a wonderful time with my code, but after changing my template it now fails before I even get to give my input. Baffling!
all the required imports are not shown here nor is all the prompt text (containing no special characters)
template = '''Your task is to extract the relationships between terms i... | {
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- **Issue:** In some cases LLMs could return json in markdown which can't be loaded.
- **Dependencies:**
- **Tag maintainer:** @eyurtsev
- **Twitter handle:**
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"id": 56... | open | false | null | [] | null | 2 | 2023-11-19T13:59:02 | 2023-11-19T14:10:20 | null | NONE | null | ### Feature request
The feature request I am proposing involves the implementation of hybrid search, specifically using the Reciprocal Rank Fusion (RRF) method, in LangChain through the integration of OpenSearch's vector store.
This would enable the combination of keyword and similarity search. Currently, LangChain... | {
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f"Expected data_frame[{page_content_column}] to be a GeoSeries" you need it to validate the geoSeries and not the shapely.geometry.point.Point
if not isinsta... | {
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- trial ran integration tests | {
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- **Tag maintainer:** @baskaryan
- **Twitter handle:** @ofermend
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