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harrison/eval
harrison/audio
ankush/prompt-abstractions
harrison/memory-chat
harrison/indexes
ankush/partial-prompt-apply
harrison/sagemaker
harrison/datetime
harrison/openapiagent
harrison/paged-pdf
harrison/pswsl
ankush/example-runner
harrison/guards
scad/api-chain
harrison/prompt-bugs
harrison/sql-agent
harrison/pinecone-try-except
harrison/callback-updates
harrison/map-rerank
harrison/combine-docs-parse
harrison/azure-rfc
harrison/sequential_chain_from_prompts
harrison/agent-refactor
harrison/agent_intermediate_steps
harrison/agent_multi_inputs
harrison/promot-mrkl
harrison/fix_logging_api
harrison/use_output_parser
harrison/track_intermediate_steps
harrison/sql_error
harrison/logging_to_file
harrison/output_parser
harrison/flexible_model_args
harrison/agent-improvements
harrison/router_docs
harrison/docs
samantha/add_llm_to_example
harrison/reorg_smart_chains
mako-templates
harrison/save_metadatas
harrison/router
harrison/custom_pipeline
harrison/chain_pipeline
harrison/prompts_docs
harrison/attempt_citing_in_prompt
harrison/load_prompt
harrison/prompts_take_2
harrison/ape
harrison/prompt_examples
harrison/add_dependencies
langchain-ai21==0.1.4
langchain-ai21==0.1.5
langchain-ai21==0.1.6
langchain-ai21==0.1.7
langchain-airbyte==0.1.1
langchain-anthropic==0.1.12
langchain-anthropic==0.1.13
langchain-anthropic==0.1.14rc1
langchain-anthropic==0.1.14rc2
langchain-anthropic==0.1.15
langchain-anthropic==0.1.16
langchain-anthropic==0.1.17
langchain-anthropic==0.1.18
langchain-anthropic==0.1.19
langchain-anthropic==0.1.20
langchain-anthropic==0.1.21
langchain-anthropic==0.1.22
langchain-anthropic==0.1.23
langchain-anthropic==0.2.0
langchain-anthropic==0.2.0.dev0
langchain-anthropic==0.2.0.dev1
langchain-anthropic==0.2.1
langchain-azure-dynamic-sessions==0.1.0
langchain-azure-dynamic-sessions==0.1.0rc0
langchain-azure-dynamic-sessions==0.2.0
langchain-box==0.1.0
langchain-box==0.2.0
langchain-box==0.2.1
langchain-chroma==0.1.1
langchain-chroma==0.1.2
langchain-chroma==0.1.4
langchain-cli==0.0.22
langchain-cli==0.0.23
langchain-cli==0.0.24
langchain-cli==0.0.25
langchain-cli==0.0.26
langchain-cli==0.0.27
langchain-cli==0.0.28
langchain-cli==0.0.29
langchain-cli==0.0.30
langchain-cli==0.0.31
langchain-community==0.0.35
langchain-community==0.0.36
langchain-community==0.0.37
langchain-community==0.0.38
langchain-community==0.2.0
langchain-community==0.2.0rc1
langchain-community==0.2.1
langchain-community==0.2.10
langchain-community==0.2.11
langchain-community==0.2.12
langchain-community==0.2.13
langchain-community==0.2.14
langchain-community==0.2.15
langchain-community==0.2.16
langchain-community==0.2.17
langchain-community==0.2.2
langchain-community==0.2.3
langchain-community==0.2.4
langchain-community==0.2.5
langchain-community==0.2.6
langchain-community==0.2.7
langchain-community==0.2.9
langchain-community==0.3.0
langchain-community==0.3.0.dev1
langchain-community==0.3.0.dev2
langchain-core==0.1.47
langchain-core==0.1.48
langchain-core==0.1.50
langchain-core==0.1.51
langchain-core==0.1.52
langchain-core==0.2.0
langchain-core==0.2.0rc1
langchain-core==0.2.1
langchain-core==0.2.10
langchain-core==0.2.11
langchain-core==0.2.12
langchain-core==0.2.13
langchain-core==0.2.15
langchain-core==0.2.16
langchain-core==0.2.17
langchain-core==0.2.18
langchain-core==0.2.19
langchain-core==0.2.2
langchain-core==0.2.20
langchain-core==0.2.21
langchain-core==0.2.22
langchain-core==0.2.23
langchain-core==0.2.24
langchain-core==0.2.25
langchain-core==0.2.26
langchain-core==0.2.27
langchain-core==0.2.28
langchain-core==0.2.29
langchain-core==0.2.29rc1
langchain-core==0.2.2rc1
langchain-core==0.2.3
langchain-core==0.2.30
langchain-core==0.2.31
langchain-core==0.2.32
langchain-core==0.2.33
langchain-core==0.2.34
langchain-core==0.2.35
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langchain-core==0.2.38
langchain-core==0.2.39
langchain-core==0.2.4
langchain-core==0.2.40
langchain-core==0.2.41
langchain-core==0.2.5
langchain-core==0.2.6
langchain-core==0.2.7
langchain-core==0.2.8
langchain-core==0.2.9
langchain-core==0.3.0
langchain-core==0.3.0.dev1
langchain-core==0.3.0.dev2
langchain-core==0.3.0.dev3
langchain-core==0.3.0.dev4
langchain-core==0.3.0.dev5
langchain-core==0.3.1
langchain-core==0.3.2
langchain-couchbase==0.0.1
langchain-couchbase==0.1.0
langchain-couchbase==0.1.1
langchain-exa==0.1.0
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langchain-experimental==0.3.0.dev1
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langchain-fireworks==0.1.5
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langchain-huggingface==0.0.3
langchain-huggingface==0.1.0
langchain-huggingface==0.1.0.dev1
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langchain-mistralai==0.1.9
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langchain-mongodb==0.2.0.dev1
langchain-nomic==0.1.0
langchain-nomic==0.1.1
langchain-nomic==0.1.2
langchain-nomic==0.1.3
langchain-ollama==0.1.0
langchain-ollama==0.1.1
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langchain-ollama==0.2.0.dev1
langchain-openai==0.1.10
langchain-openai==0.1.11
langchain-openai==0.1.12
langchain-openai==0.1.13
langchain-openai==0.1.14
langchain-openai==0.1.15
langchain-openai==0.1.16
langchain-openai==0.1.17
langchain-openai==0.1.19
langchain-openai==0.1.20
langchain-openai==0.1.21
langchain-openai==0.1.21rc1
langchain-openai==0.1.21rc2
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langchain-openai==0.1.7
langchain-openai==0.1.8
langchain-openai==0.1.8rc1
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langchain-openai==0.2.0.dev1
langchain-openai==0.2.0.dev2
langchain-pinecone==0.1.1
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langchain-pinecone==0.1.3
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langchain-voyageai==0.1.2
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${ noResults }
Jordy Jackson Antunes da Rocha
a50eabbd48
- Description: Modified the prompt created by the function
`create_unstructured_prompt` (which is called for LLMs that do not
support function calling) by adding conditional checks that verify if
restrictions on entity types and rel_types should be added to the
prompt. If the user provides a sufficiently large text, the current
prompt **may** fail to produce results in some LLMs. I have first seen
this issue when I implemented a custom LLM class that did not support
Function Calling and used Gemini 1.5 Pro, but I was able to replicate
this issue using OpenAI models.
By loading a sufficiently large text
```python
from langchain_community.llms import Ollama
from langchain_openai import ChatOpenAI, OpenAI
from langchain_core.prompts import PromptTemplate
import re
from langchain_experimental.graph_transformers import LLMGraphTransformer
from langchain_core.documents import Document
with open("texto-longo.txt", "r") as file:
full_text = file.read()
partial_text = full_text[:4000]
documents = [Document(page_content=partial_text)] # cropped to fit GPT 3.5 context window
```
And using the chat class (that has function calling)
```python
chat_openai = ChatOpenAI(model="gpt-3.5-turbo", model_kwargs={"seed": 42})
chat_gpt35_transformer = LLMGraphTransformer(llm=chat_openai)
graph_from_chat_gpt35 = chat_gpt35_transformer.convert_to_graph_documents(documents)
```
It works:
```
>>> print(graph_from_chat_gpt35[0].nodes)
[Node(id="Jesu, Joy of Man's Desiring", type='Music'), Node(id='Godel', type='Person'), Node(id='Johann Sebastian Bach', type='Person'), Node(id='clever way of encoding the complicated expressions as numbers', type='Concept')]
```
But if you try to use the non-chat LLM class (that does not support
function calling)
```python
openai = OpenAI(
model="gpt-3.5-turbo-instruct",
max_tokens=1000,
)
gpt35_transformer = LLMGraphTransformer(llm=openai)
graph_from_gpt35 = gpt35_transformer.convert_to_graph_documents(documents)
```
It uses the prompt that has issues and sometimes does not produce any
result
```
>>> print(graph_from_gpt35[0].nodes)
[]
```
After implementing the changes, I was able to use both classes more
consistently:
```shell
>>> chat_gpt35_transformer = LLMGraphTransformer(llm=chat_openai)
>>> graph_from_chat_gpt35 = chat_gpt35_transformer.convert_to_graph_documents(documents)
>>> print(graph_from_chat_gpt35[0].nodes)
[Node(id="Jesu, Joy Of Man'S Desiring", type='Music'), Node(id='Johann Sebastian Bach', type='Person'), Node(id='Godel', type='Person')]
>>> gpt35_transformer = LLMGraphTransformer(llm=openai)
>>> graph_from_gpt35 = gpt35_transformer.convert_to_graph_documents(documents)
>>> print(graph_from_gpt35[0].nodes)
[Node(id='I', type='Pronoun'), Node(id="JESU, JOY OF MAN'S DESIRING", type='Song'), Node(id='larger memory', type='Memory'), Node(id='this nice tree structure', type='Structure'), Node(id='how you can do it all with the numbers', type='Process'), Node(id='JOHANN SEBASTIAN BACH', type='Composer'), Node(id='type of structure', type='Characteristic'), Node(id='that', type='Pronoun'), Node(id='we', type='Pronoun'), Node(id='worry', type='Verb')]
```
The results are a little inconsistent because the GPT 3.5 model may
produce incomplete json due to the token limit, but that could be solved
(or mitigated) by checking for a complete json when parsing it.
|
3 months ago | |
|---|---|---|
| .. | ||
| langchain_experimental | experimental: LLMGraphTransformer add missing conditional adding restrictions to prompts for LLM that do not support function calling (#22793) | 3 months ago |
| scripts | infra: add print rule to ruff (#16221) | 7 months ago |
| tests | core[minor]: BaseChatModel with_structured_output implementation (#22859) | 3 months ago |
| LICENSE | Library Licenses (#13300) | 10 months ago |
| Makefile | create mypy cache dir if it doesn't exist (#14579) | 9 months ago |
| README.md |
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| extended_testing_deps.txt | ci: add testing with Python 3.12 (#22813) | 3 months ago |
| poetry.lock | experimental: release 0.0.62 (#23507) | 3 months ago |
| poetry.toml |
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| pyproject.toml | experimental: release 0.0.62 (#23507) | 3 months ago |
README.md
🦜️🧪 LangChain Experimental
This package holds experimental LangChain code, intended for research and experimental uses.
[!WARNING] Portions of the code in this package may be dangerous if not properly deployed in a sandboxed environment. Please be wary of deploying experimental code to production unless you've taken appropriate precautions and have already discussed it with your security team.
Some of the code here may be marked with security notices. However, given the exploratory and experimental nature of the code in this package, the lack of a security notice on a piece of code does not mean that the code in question does not require additional security considerations in order to be safe to use.